diff --git a/.gitignore b/.gitignore
index f910196..e04949b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -52,6 +52,8 @@ htmlcov/
 fastagent.secrets.yaml
 outputs/
 output*/
+results/
+experiments/
 fastagent.jsonl
 test_script_*.py
 .claude/
diff --git a/docs/evals.md b/docs/evals.md
index db5a4e9..f411b5c 100644
--- a/docs/evals.md
+++ b/docs/evals.md
@@ -79,12 +79,43 @@ appworld download data
 
 Validate existing logs without running new tests:
 
+**BFCL:**
 ```bash
-# Validate logs from default directory
+# Validate logs (auto-detects from outputs/raw/)
 .venv/bin/pytest tests/benchmarks/bfcl/test_bfcl.py --validate-only
 
-# Validate logs from specific directory
-.venv/bin/pytest tests/benchmarks/bfcl/test_bfcl.py --validate-only --log-dir outputs/experiment1/raw
+# Or specify custom output directory
+.venv/bin/pytest tests/benchmarks/bfcl/test_bfcl.py --validate-only --output-dir outputs/experiment1
+```
+
+**AppWorld:**
+```bash
+# Validate logs (auto-detects from results/{model}/{dataset}/)
+.venv/bin/pytest tests/benchmarks/appworld/test_appworld.py --validate-only --model gpt-4o --dataset train
+```
+
+### AppWorld Results Organization
+
+AppWorld tests automatically organize results during execution:
+
+```bash
+# Run tests - results automatically organized
+.venv/bin/pytest tests/benchmarks/appworld/test_appworld.py --dataset train --model gpt-4o
+
+# Results automatically written to:
+# - results/gpt-4o/train/outputs/raw/ (conversation logs)
+# - results/gpt-4o/train/failure_reports/ (auto-generated for failed tests)
+# - experiments/outputs/gpt-4o/train/ (AppWorld evaluation data)
+
+# Clean up large experiment directories after tests
+rm -rf experiments/outputs/gpt-4o/  # Frees ~15GB
+```
+
+**AppWorld-specific options:**
+```bash
+--dataset DATASET         # Dataset: train, dev, test_normal, test_challenge (default: train)
+--limit N                 # Run only first N tasks from dataset
+--start-from TASK_ID      # Resume from specific task ID
 ```
 
 ### Parallel Execution
diff --git a/pyproject.toml b/pyproject.toml
index 416c148..86086fd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,7 @@ build-backend = "setuptools.build_meta"
 name = "wags"
 version = "0.0.0.dev0"
 description = "WAGS - Middleware orchestration for MCP servers with FastMCP"
-requires-python = ">=3.13.5"
+requires-python = "~=3.13.5"
 
 dependencies = [
     "mcp @ git+https://github.com/chughtapan/python-sdk.git@wags-dev",
@@ -74,6 +74,8 @@ ignore = ["PERF203", "PLC0415", "PLR0402"]
 "src/wags/cli/main.py" = ["PLR0913"]
 # Pytest fixtures require many parameters
 "tests/benchmarks/appworld/test_appworld.py" = ["PLR0913"]
+# Reporting functions naturally have high complexity due to formatting logic
+"tests/benchmarks/appworld/reporting.py" = ["C901", "PLR0912", "PLR0915"]
 
 [tool.ruff.lint.pylint]
 allow-magic-value-types = ["bytes", "float", "int", "str"]
diff --git a/tests/README.md b/tests/README.md
index 5fdea0b..481edce 100644
--- a/tests/README.md
+++ b/tests/README.md
@@ -90,7 +90,7 @@ UV_GIT_LFS=1 uv pip install -e ".[dev,evals]"
 # Run specific category
 .venv/bin/pytest tests/benchmarks/bfcl/test_bfcl.py -k "multi_turn_base"
 
-# Validate existing logs
+# Validate existing logs (auto-detects from outputs/raw/)
 .venv/bin/pytest tests/benchmarks/bfcl/test_bfcl.py --validate-only
 ```
 
@@ -99,14 +99,14 @@ UV_GIT_LFS=1 uv pip install -e ".[dev,evals]"
 appworld install
 appworld download data
 
-# Run all train tasks
+# Run all train tasks (results automatically organized to results/{model}/{dataset}/)
 .venv/bin/pytest tests/benchmarks/appworld/test_appworld.py --dataset train --model gpt-4o
 
 # Run specific task
 .venv/bin/pytest 'tests/benchmarks/appworld/test_appworld.py::test_appworld[train_001]'
 
-# Validate existing results
-.venv/bin/pytest tests/benchmarks/appworld/test_appworld.py --validate-only
+# Validate existing results (auto-detects from results/{model}/{dataset}/)
+.venv/bin/pytest tests/benchmarks/appworld/test_appworld.py --validate-only --model gpt-4o --dataset train
 ```
 
 ### 5. Smoke Tests (`smoke/`)
@@ -211,8 +211,13 @@ async def test_with_client():
 Global fixtures available to all tests:
 
 - `model`: Model name from `--model` CLI option (default: gpt-4o-mini)
-- `output_dir`: Output directory from `--output-dir` (default: outputs)
-- `fast_agent`: FastAgent instance (e2e tests only)
+- `temperature`: Temperature from `--temperature` CLI option (default: 0.001)
+
+Benchmark-specific fixtures:
+
+- `output_dir`: Output directory (benchmark-specific override)
+  - BFCL: Uses `--output-dir` (default: outputs)
+  - AppWorld: Automatically uses `results/{model}/{dataset}/outputs/`
 
 ### Custom Markers
 
@@ -222,16 +227,21 @@ Registered markers:
 
 ### CLI Options
 
+**Global options:**
 ```bash
 --model MODEL              # Model to use (default: gpt-4o-mini)
+--temperature FLOAT        # Temperature for sampling (default: 0.001)
 --output-dir DIR          # Output directory (default: outputs)
---validate-only           # Only validate existing logs (benchmarks)
---log-dir DIR             # Log directory for validation
---max-workers N           # Max concurrent tests (default: 4)
+--validate-only           # Only validate existing logs
+```
 
-# AppWorld-specific options
---dataset DATASET         # AppWorld dataset: train, dev, test_normal, test_challenge
+**AppWorld-specific options:**
+```bash
+--dataset DATASET         # Dataset: train, dev, test_normal, test_challenge (default: train)
 --limit N                 # Run only first N tasks from dataset
+--api-mode MODE           # API prediction mode (default: app_oracle)
+--experiment-dir DIR      # Custom experiment directory name
+--start-from TASK_ID      # Resume from specific task ID
 ```
 
 ## Common Commands
diff --git a/tests/benchmarks/appworld/README.md b/tests/benchmarks/appworld/README.md
index 2871f21..7229206 100644
--- a/tests/benchmarks/appworld/README.md
+++ b/tests/benchmarks/appworld/README.md
@@ -16,11 +16,11 @@ appworld download data
 ## Run Tests
 
 ```bash
-# Run first task from train dataset
+# Run first task from train dataset (automatically organized to results/gpt-4o/train/)
 pytest tests/benchmarks/appworld/test_appworld.py --dataset train --limit 1 --model gpt-4o
 
 # Run first 5 train tasks
-pytest tests/benchmarks/appworld/test_appworld.py --dataset train --limit 5
+pytest tests/benchmarks/appworld/test_appworld.py --dataset train --limit 5 --model gpt-4o
 
 # Run all dev tasks
 pytest tests/benchmarks/appworld/test_appworld.py --dataset dev --model gpt-4o
@@ -28,8 +28,8 @@ pytest tests/benchmarks/appworld/test_appworld.py --dataset dev --model gpt-4o
 # Run specific task (use actual task IDs like 82e2fac_1, not train_001)
 pytest 'tests/benchmarks/appworld/test_appworld.py::test_appworld[82e2fac_1]'
 
-# Validate existing results without re-running
-pytest tests/benchmarks/appworld/test_appworld.py --validate-only
+# Validate existing results (auto-detects from results/gpt-4o/train/)
+pytest tests/benchmarks/appworld/test_appworld.py --validate-only --model gpt-4o --dataset train
 ```
 
 ## CLI Options
@@ -84,13 +84,44 @@ tests/benchmarks/appworld/
 4. **Validation**: AppWorld evaluator compares DB state to ground truth
 5. **Result**: Pass/fail based on whether task requirements were met
 
+## Results Organization
+
+AppWorld tests automatically organize results during execution:
+
+```
+results/{model}/{dataset}/
+├── outputs/
+│   └── raw/
+│       ├── {task_id}_complete.json      # Conversation logs
+│       └── {task_id}_structured.jsonl   # Turn-by-turn events
+└── failure_reports/
+    └── failure_report_{task_id}.md      # Auto-generated for failed tests
+
+experiments/outputs/{model}/{dataset}/    # AppWorld evaluation data (~15GB)
+└── tasks/{task_id}/
+    ├── dbs/                              # Database snapshots
+    └── evaluation/
+        └── report.md                     # Evaluation results
+```
+
+### Cleanup
+
+After tests complete, clean up large experiment directories:
+
+```bash
+rm -rf experiments/outputs/gpt-4o/  # Frees ~15GB
+```
+
 ## Debugging
 
 ### Inspect Test Output
 ```bash
 # Structured logs
-cat outputs/raw/<task_id>_structured.jsonl
+cat results/gpt-4o/train/outputs/raw/<task_id>_structured.jsonl
 
 # Complete message history
-cat outputs/raw/<task_id>_complete.json
+cat results/gpt-4o/train/outputs/raw/<task_id>_complete.json
+
+# Failure report (auto-generated for failed tests)
+cat results/gpt-4o/train/failure_reports/failure_report_<task_id>.md
 ```
diff --git a/tests/benchmarks/appworld/conftest.py b/tests/benchmarks/appworld/conftest.py
index 7f36774..bd1bee5 100644
--- a/tests/benchmarks/appworld/conftest.py
+++ b/tests/benchmarks/appworld/conftest.py
@@ -1,8 +1,26 @@
 """Pytest configuration and fixtures for AppWorld benchmark."""
 
+from pathlib import Path
+
 import pytest
 
 
+@pytest.fixture
+def output_dir(request: pytest.FixtureRequest) -> Path:
+    """AppWorld-specific output directory.
+
+    Overrides the global output_dir fixture to write directly to
+    results/{model}/{dataset}/outputs/ for organized storage.
+    """
+    model = str(request.config.getoption("--model"))
+    dataset = str(request.config.getoption("--dataset"))
+
+    # Write directly to results directory
+    path = Path("results") / model / dataset / "outputs"
+    path.mkdir(parents=True, exist_ok=True)
+    return path
+
+
 def pytest_addoption(parser: pytest.Parser) -> None:
     """Add AppWorld-specific CLI options."""
     parser.addoption(
@@ -19,13 +37,32 @@ def pytest_addoption(parser: pytest.Parser) -> None:
     )
     parser.addoption(
         "--api-mode",
-        default="ground_truth",
+        default="app_oracle",
         choices=["predicted", "ground_truth", "app_oracle", "all"],
         help=(
             "API prediction mode: predicted (LLM), ground_truth (API-level oracle), "
             "app_oracle (app-level oracle), all (default: ground_truth)"
         ),
     )
+    parser.addoption(
+        "--experiment-dir",
+        default=None,
+        type=str,
+        help=(
+            "Experiment directory name (e.g., 'gpt-5/train' or 'claude-sonnet-4-5/dev'). "
+            "If not specified, auto-generates timestamp-based name. "
+            "Results will be saved to experiments/outputs/{experiment-dir}/"
+        ),
+    )
+    parser.addoption(
+        "--start-from",
+        default=None,
+        type=str,
+        help=(
+            "Start from specified task_id (skip all tests before it). "
+            "Example: --start-from 692c77d_1. Useful for resuming interrupted benchmark runs."
+        ),
+    )
 
 
 @pytest.fixture
@@ -53,3 +90,27 @@ def api_mode(request: pytest.FixtureRequest) -> str:
         "all": Use all available APIs (no limit)
     """
     return str(request.config.getoption("--api-mode"))
+
+
+@pytest.fixture(scope="session")
+def experiment_name(request: pytest.FixtureRequest) -> str:
+    """
+    Get or generate experiment directory name for the test session.
+
+    All tests in this session will write to the same experiment directory,
+    organized by task_id in subdirectories: experiments/outputs/{experiment_name}/tasks/{task_id}/
+
+    Automatically uses {model}/{dataset} pattern for organized experiment tracking.
+    """
+
+    experiment_dir = request.config.getoption("--experiment-dir", None)
+
+    if experiment_dir:
+        # Use specified experiment directory
+        return str(experiment_dir)
+    else:
+        # Use model/dataset pattern for organized experiment tracking
+        # This works for both normal runs and validation
+        model = str(request.config.getoption("--model"))
+        dataset = str(request.config.getoption("--dataset"))
+        return f"{model}/{dataset}"
diff --git a/tests/benchmarks/appworld/mcp_server.py b/tests/benchmarks/appworld/mcp_server.py
index aed4068..fa025ba 100644
--- a/tests/benchmarks/appworld/mcp_server.py
+++ b/tests/benchmarks/appworld/mcp_server.py
@@ -201,7 +201,7 @@ async def serve_task_mcp(task_id: str, experiment_name: str = "wags-benchmark")
     server = Server(server_name)
 
     # Register list_tools handler
-    @server.list_tools()
+    @server.list_tools()  # type: ignore[untyped-decorator]
     async def list_tools() -> list[Tool]:
         """List available tools with AppWorld's MCP schemas."""
         tools: list[Tool] = []
@@ -216,7 +216,7 @@ async def list_tools() -> list[Tool]:
         return tools
 
     # Register call_tool handler
-    @server.call_tool()
+    @server.call_tool()  # type: ignore[untyped-decorator]
     async def call_tool(name: str, arguments: dict[str, Any]) -> Any:
         """Call AppWorld API and save databases on task completion."""
         app_name = api_name = name
diff --git a/tests/benchmarks/appworld/reporting.py b/tests/benchmarks/appworld/reporting.py
new file mode 100644
index 0000000..cee8c63
--- /dev/null
+++ b/tests/benchmarks/appworld/reporting.py
@@ -0,0 +1,164 @@
+"""Reporting utilities for AppWorld test results."""
+
+import json
+from pathlib import Path
+from typing import Any
+
+from appworld.common.path_store import path_store
+from appworld.task import Task
+
+
+def find_evaluation_report(task_id: str, experiment_name: str) -> Path | None:
+    """Find the evaluation report for a given task_id and experiment_name."""
+    exp_base = Path(path_store.experiment_outputs)
+    report_path = exp_base / experiment_name / "tasks" / task_id / "evaluation" / "report.md"
+    return report_path if report_path.exists() else None
+
+
+def parse_evaluation_report(report_path: Path) -> dict[str, Any]:
+    """Parse evaluation report to determine pass/fail status."""
+    content = report_path.read_text()
+    lines = content.split("\n")
+
+    passed = 0
+    failed = 0
+
+    for line in lines:
+        if line.startswith("Num Passed Tests"):
+            passed = int(line.split(":")[-1].strip())
+        elif line.startswith("Num Failed Tests"):
+            failed = int(line.split(":")[-1].strip())
+
+    return {
+        "success": failed == 0,
+        "passed": passed,
+        "failed": failed,
+        "report_content": content,
+    }
+
+
+def load_complete_json(output_dir: Path, task_id: str) -> dict[str, Any] | None:
+    """Load the complete.json file for a task."""
+    complete_path = output_dir / "raw" / f"{task_id}_complete.json"
+    if not complete_path.exists():
+        return None
+    result: dict[str, Any] = json.loads(complete_path.read_text())
+    return result
+
+
+def format_tool_call(tool_call_data: dict[str, Any]) -> str:
+    """Format a tool call for display."""
+    func_name = tool_call_data.get("name", "unknown")
+    args = tool_call_data.get("arguments", {})
+
+    # Format arguments
+    if isinstance(args, str):
+        args = json.loads(args)
+
+    if isinstance(args, dict) and args:
+        arg_strs = [f"{k}={repr(v)}" for k, v in args.items()]
+        return f"{func_name}({', '.join(arg_strs)})"
+    else:
+        return f"{func_name}()"
+
+
+def generate_failure_report(
+    task_id: str,
+    task: Task,
+    eval_data: dict[str, Any],
+    complete_data: dict[str, Any] | None,
+    output_path: Path,
+) -> None:
+    """Generate a detailed failure report markdown file."""
+
+    report = []
+    report.append(f"# {task_id}\n")
+    report.append("## Task\n")
+    report.append(f"> {task.instruction}\n")
+    if task.ground_truth is not None:
+        metadata = task.ground_truth.metadata
+        difficulty = metadata.get("difficulty", "?")
+        num_apps = metadata.get("num_apps", "?")
+        num_apis = metadata.get("num_apis", "?")
+        num_api_calls = metadata.get("num_api_calls", "?")
+        report.append(
+            f"**Difficulty:** {difficulty}/5 | **Apps:** {num_apps} | "
+            f"**APIs:** {num_apis} | **Expected API calls:** {num_api_calls}\n"
+        )
+    report.append("---\n")
+
+    # Evaluation Results
+    report.append("## Evaluation Results\n")
+    if eval_data["success"]:
+        report.append("**Status:** ✅ PASSED\n")
+    else:
+        total = eval_data["passed"] + eval_data["failed"]
+        failed = eval_data["failed"]
+        report.append(f"**Status:** ❌ FAILED ({failed}/{total} requirements failed)\n")
+    report.append("\n```\n")
+    report.append(eval_data["report_content"])
+    report.append("\n```\n")
+    report.append("---\n")
+
+    # Ground Truth Solution
+    report.append("## Ground Truth Solution Code\n")
+    report.append("\nAppWorld's reference solution:\n")
+    report.append("\n```python\n")
+    if task.ground_truth is not None:
+        report.append(task.ground_truth.solution_code)
+    report.append("\n```\n")
+    report.append("---\n")
+
+    # Agent Execution Trace
+    if complete_data:
+        report.append("## Agent Execution Trace\n")
+        messages = complete_data.get("messages", [])
+        turn_num = 0
+
+        for i, msg in enumerate(messages):
+            if msg.get("role") == "assistant":
+                turn_num += 1
+                report.append(f"\n### Turn {turn_num}\n")
+
+                # Text content (show first - what the assistant said)
+                if msg.get("content"):
+                    for content_block in msg["content"]:
+                        if content_block.get("type") == "text":
+                            text = content_block.get("text", "")
+                            if text.strip():
+                                report.append("\n**Assistant:**\n")
+                                report.append(f"> {text}\n")
+
+                # Tool calls (show after text - what tools were invoked)
+                if msg.get("tool_calls"):
+                    # Look ahead to the next message for tool results
+                    next_msg = messages[i + 1] if i + 1 < len(messages) else None
+                    tool_results = next_msg.get("tool_results", {}) if next_msg else {}
+
+                    for tool_call_id, tool_call_data in msg["tool_calls"].items():
+                        report.append("\n**Tool Call:**\n")
+                        report.append("```python\n")
+                        report.append(format_tool_call(tool_call_data))
+                        report.append("\n```\n")
+
+                        # Find corresponding result in the next message
+                        tool_result = tool_results.get(tool_call_id)
+                        if tool_result:
+                            # Extract text from content blocks
+                            content_blocks = tool_result.get("content", [])
+                            result_text = ""
+                            for block in content_blocks:
+                                if block.get("type") == "text":
+                                    result_text = block.get("text", "")
+                                    break
+
+                            if result_text:
+                                report.append("\n**Result:**\n")
+                                report.append("```json\n")
+                                report.append(result_text)
+                                report.append("\n```\n")
+    else:
+        report.append("## Agent Execution Trace\n")
+        report.append("\n⚠️  No execution trace available (complete.json not found)\n")
+
+    output_path.write_text("\n".join(report))
diff --git a/tests/benchmarks/appworld/test_appworld.py b/tests/benchmarks/appworld/test_appworld.py
index 4fd7772..5c8dfa9 100644
--- a/tests/benchmarks/appworld/test_appworld.py
+++ b/tests/benchmarks/appworld/test_appworld.py
@@ -2,17 +2,22 @@
 
 import asyncio
 import os
-from datetime import datetime
 from pathlib import Path
 
 import pytest
 from appworld import load_task_ids
-from appworld.common.path_store import path_store
 from appworld.evaluator import evaluate_task
 from appworld.task import Task
 from fast_agent import FastAgent
+from fast_agent.llm.request_params import RequestParams
 
 from tests.benchmarks.appworld import api_predictor, prompts
+from tests.benchmarks.appworld.reporting import (
+    find_evaluation_report,
+    generate_failure_report,
+    load_complete_json,
+    parse_evaluation_report,
+)
 from tests.utils.fastagent_helpers import MessageSerializer
 from tests.utils.logger import StructuredEventLogger
 
@@ -29,15 +34,45 @@ def pytest_generate_tests(metafunc: pytest.Metafunc) -> None:
     validate_only = metafunc.config.getoption("--validate-only", False)
 
     if validate_only:
+        # Auto-detect log directory from model/dataset
+        model = metafunc.config.getoption("--model")
+        dataset = metafunc.config.getoption("--dataset", "train")
+        log_dir = Path("results") / model / dataset / "outputs" / "raw"
+
         # Find existing log files to validate
-        log_dir = Path(metafunc.config.getoption("--log-dir", "outputs/raw"))
-        log_files = list(log_dir.glob("**/*_complete.json")) if log_dir.exists() else []
+        log_files = list(log_dir.glob("*_complete.json")) if log_dir.exists() else []
         task_ids = [f.stem.replace("_complete", "") for f in log_files]
+
+        if not task_ids:
+            pytest.exit(
+                f"\nError: No test results found in {log_dir}\n"
+                f"Expected to find *_complete.json files for validation.\n"
+                f"Make sure you've run tests for --model {model} --dataset {dataset} first."
+            )
     else:
         # Load task IDs from AppWorld dataset
         dataset = metafunc.config.getoption("--dataset", "train")
-        limit = metafunc.config.getoption("--limit", None)
         task_ids = load_task_ids(dataset)
+
+        # Apply --start-from filter first (before --limit)
+        start_from = metafunc.config.getoption("--start-from", None)
+        if start_from:
+            try:
+                start_index = task_ids.index(start_from)
+                task_ids = task_ids[start_index:]
+                print(f"\nStarting from task '{start_from}' (index {start_index}, {len(task_ids)} tasks remaining)")
+            except ValueError:
+                # Task ID not found - provide helpful error
+                pytest.exit(
+                    f"\nError: Task ID '{start_from}' not found in {dataset} dataset.\n"
+                    f"Available task IDs (first 10): {', '.join(task_ids[:10])}\n"
+                    f"Total tasks in dataset: {len(task_ids)}\n"
+                    f"Use: pytest tests/benchmarks/appworld/test_appworld.py --dataset {dataset} "
+                    f"--collect-only to see all task IDs."
+                )
+
+        # Apply --limit filter (after --start-from)
+        limit = metafunc.config.getoption("--limit", None)
         if limit and limit > 0:
             task_ids = task_ids[:limit]
 
@@ -50,13 +85,13 @@ def pytest_generate_tests(metafunc: pytest.Metafunc) -> None:
 
 
 @pytest.mark.asyncio
-@pytest.mark.timeout(900)
 async def test_appworld(
     task_id: str,
     model: str,
     temperature: float,
     output_dir: Path,
     api_mode: str,
+    experiment_name: str,
     request: pytest.FixtureRequest,
 ) -> None:
     """Run or validate an AppWorld test."""
@@ -64,26 +99,80 @@ async def test_appworld(
 
     # Run test if not in validate-only mode
     if not validate_only:
-        experiment_name = await _run_appworld_test(task_id, model, temperature, output_dir, api_mode)
-    else:
-        experiment_name = _get_latest_experiment_name()
+        await _run_appworld_test(task_id, model, temperature, output_dir, api_mode, experiment_name)
 
-    # Get log directory and complete.json path
-    log_dir = Path(request.config.getoption("--log-dir", "outputs/raw")) if validate_only else output_dir / "raw"
-    complete_path = log_dir / f"{task_id}_complete.json"
+    # Get complete.json path (always in output_dir/raw now)
+    complete_path = output_dir / "raw" / f"{task_id}_complete.json"
 
     # Skip if complete.json doesn't exist
     if not complete_path.exists():
         pytest.skip(f"Complete JSON not found: {complete_path}")
 
-    # Evaluate and assert success
-    test_tracker = evaluate_task(
+    # Check if database directory exists before evaluation
+    # If the agent didn't call complete_task, the database won't be saved and evaluate_task will fail
+    from appworld.apps.lib.models.db import get_db_home_path
+    from appworld.evaluator import TestTracker
+
+    db_path = get_db_home_path(
+        storage_type="disk",
+        type="task_output",
         task_id=task_id,
         experiment_name=experiment_name,
-        suppress_errors=False,
-        save_report=True,
     )
 
+    if not Path(db_path).exists():
+        # Database not saved - agent didn't complete the task
+        # Create a failed test tracker without calling evaluate_task
+        from appworld.evaluator import Failure
+
+        test_tracker = TestTracker()
+        failure: Failure = {
+            "requirement": "Agent must call complete_task to save results",
+            "trace": f"Database not found at {db_path}",
+            "label": None,
+        }
+        test_tracker.failures.append(failure)
+    else:
+        # Evaluate and assert success
+        # NOTE: Use suppress_errors=True to ensure evaluate_task() completes and saves the report
+        # even when the task fails. With suppress_errors=False, it raises an exception before
+        # saving the report or stopping the time_freezer, causing subsequent tests to hang.
+        #
+        # IMPORTANT: evaluate_task() can still raise exceptions during setup (e.g., missing database files)
+        # BEFORE stopping the time_freezer. We use try/finally to ensure cleanup always happens.
+        try:
+            test_tracker = evaluate_task(
+                task_id=task_id,
+                experiment_name=experiment_name,
+                suppress_errors=True,
+                save_report=True,
+            )
+        finally:
+            # Always ensure time is unfrozen, even if evaluate_task fails during setup
+            # This prevents subsequent tests from hanging
+            # Note: We manually restore datetime because we don't have access to the freezer instance
+            # created inside evaluate_task(). Just clearing tz_offsets isn't enough - we must also
+            # restore the real datetime module, otherwise datetime.now() crashes with IndexError.
+            try:
+                import datetime
+                import sys
+
+                from freezegun import api
+
+                api.tz_offsets.clear()
+                # Restore real datetime classes in both the datetime module and the global namespace
+                setattr(datetime, "datetime", api.real_datetime)
+                setattr(datetime, "date", api.real_date)
+                # Also restore in sys.modules to ensure all imports see the real datetime
+                sys.modules["datetime"].datetime = api.real_datetime  # type: ignore[attr-defined]
+                sys.modules["datetime"].date = api.real_date  # type: ignore[attr-defined]
+            except Exception:
+                pass  # If freeze_time cleanup fails, continue anyway
+
+        # Generate failure report if test failed validation
+        if not test_tracker.success:
+            _generate_failure_report_inline(task_id, output_dir, model, experiment_name, request)
+
     assert test_tracker.success, (
         f"Task {task_id} failed: {test_tracker.failures[0] if test_tracker.failures else 'Unknown'}"
     )
@@ -100,11 +189,9 @@ async def _run_appworld_test(
     temperature: float,
     output_dir: Path,
     api_mode: str,
-) -> str:
-    """Run AppWorld test and return experiment name."""
-    # Generate unique experiment name
-    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-    experiment_name = f"wags-appworld-benchmark-{timestamp}"
+    experiment_name: str,
+) -> None:
+    """Run AppWorld test using the provided experiment name."""
 
     # Load task
     task = Task.load(
@@ -133,23 +220,74 @@ async def _run_appworld_test(
         model=model,
         servers=["appworld"],
         instruction=system_instruction,
+        request_params=RequestParams(maxTokens=16000, max_iterations=500),
     )
     async def run_test() -> None:
         async with agent.run() as agent_app:
-            # Send task instruction
-            structured_logger.log_turn(1, "start", task.instruction)
-            await agent_app.send(task.instruction)
-            structured_logger.log_turn(1, "end")
-            await asyncio.sleep(0)
-
-            # Save conversation
-            messages = agent_app._agent(None).message_history
-            structured_logger.log_message_summary(messages)
-            complete_json = MessageSerializer.serialize_complete(messages)
-            (log_dir / f"{task_id}_complete.json").write_text(complete_json)
+            try:
+                # Send task instruction
+                structured_logger.log_turn(1, "start", task.instruction)
+                await agent_app.send(task.instruction)
+                structured_logger.log_turn(1, "end")
+                await asyncio.sleep(0)
+
+                # Save conversation
+                messages = agent_app._agent(None).message_history
+                structured_logger.log_message_summary(messages)
+                complete_json = MessageSerializer.serialize_complete(messages)
+                (log_dir / f"{task_id}_complete.json").write_text(complete_json)
+            finally:
+                # ALWAYS disconnect MCP servers before exiting, even on failure
+                # FastAgent's cleanup doesn't disconnect servers, causing them to hang
+                connection_manager = getattr(agent.context, "_connection_manager", None)
+                if connection_manager is None:
+                    raise RuntimeError("MCP connection manager not found - cannot disconnect servers")
+                await connection_manager.disconnect_all()
 
     await run_test()
-    return experiment_name
+
+
+def _generate_failure_report_inline(
+    task_id: str,
+    output_dir: Path,
+    model: str,
+    experiment_name: str,
+    request: pytest.FixtureRequest,
+) -> None:
+    """Generate failure report immediately after test fails validation."""
+    # Find evaluation report using precise path
+    report_path = find_evaluation_report(task_id, experiment_name)
+    if not report_path:
+        print(f"⚠️  {task_id}: No evaluation report found, skipping failure report generation")
+        return
+
+    # Parse evaluation data
+    eval_data = parse_evaluation_report(report_path)
+
+    # Only generate report if test actually failed validation
+    if eval_data["success"]:
+        return
+
+    # Load task with ground truth
+    task = Task.load(
+        task_id=task_id,
+        storage_type="memory",
+        load_ground_truth=True,
+        ground_truth_mode="full",
+    )
+
+    # Load complete.json
+    complete_data = load_complete_json(output_dir, task_id)
+
+    # Determine output path
+    dataset = request.config.getoption("--dataset", "train")
+    failure_report_dir = Path("results") / model / dataset / "failure_reports"
+    failure_report_dir.mkdir(parents=True, exist_ok=True)
+
+    # Generate failure report
+    output_path = failure_report_dir / f"failure_report_{task_id}.md"
+    generate_failure_report(task_id, task, eval_data, complete_data, output_path)
+    print(f"📝 Generated failure report: {output_path}")
 
 
 def _setup_mcp_environment(
@@ -179,13 +317,3 @@ def _setup_mcp_environment(
             "ALLOWED_APIS": ",".join(predicted_apis),
         }
     )
-
-
-def _get_latest_experiment_name() -> str:
-    """Find the most recent experiment directory."""
-    experiment_dirs = sorted(
-        Path(path_store.experiment_outputs).glob("wags-appworld-benchmark-*"),
-        key=lambda p: p.stat().st_mtime,
-        reverse=True,
-    )
-    return experiment_dirs[0].name if experiment_dirs else "wags-appworld-benchmark"
diff --git a/tests/benchmarks/bfcl/conftest.py b/tests/benchmarks/bfcl/conftest.py
new file mode 100644
index 0000000..7efb950
--- /dev/null
+++ b/tests/benchmarks/bfcl/conftest.py
@@ -0,0 +1,17 @@
+"""Pytest configuration and fixtures for BFCL benchmark."""
+
+from pathlib import Path
+
+import pytest
+
+
+@pytest.fixture
+def output_dir(request: pytest.FixtureRequest) -> Path:
+    """BFCL-specific output directory.
+
+    Uses the global --output-dir parameter (default: outputs).
+    This maintains BFCL's original behavior of writing to outputs/.
+    """
+    path = Path(request.config.getoption("--output-dir"))
+    path.mkdir(parents=True, exist_ok=True)
+    return path
diff --git a/tests/benchmarks/bfcl/test_bfcl.py b/tests/benchmarks/bfcl/test_bfcl.py
index 46e040a..0083977 100644
--- a/tests/benchmarks/bfcl/test_bfcl.py
+++ b/tests/benchmarks/bfcl/test_bfcl.py
@@ -112,8 +112,10 @@ def pytest_generate_tests(metafunc: pytest.Metafunc) -> None:
         validate_only = metafunc.config.getoption("--validate-only")
 
         if validate_only:
-            # Find existing log files to validate
-            log_dir = Path(metafunc.config.getoption("--log-dir"))
+            # Auto-detect log directory from output-dir
+            output_dir = Path(metafunc.config.getoption("--output-dir"))
+            log_dir = output_dir / "raw"
+
             if log_dir.exists():
                 log_files = list(log_dir.glob("**/*_fastagent.jsonl"))
                 test_ids = [f.stem.replace("_fastagent", "") for f in log_files]
@@ -135,12 +137,10 @@ async def test_bfcl(
     test_id: str, model: str, temperature: float, output_dir: Path, request: pytest.FixtureRequest
 ) -> None:
     """Run or validate a BFCL test based on mode."""
-    if request.config.getoption("--validate-only"):
-        log_dir = Path(request.config.getoption("--log-dir"))
-    else:
+    if not request.config.getoption("--validate-only"):
         await _run_bfcl_test(test_id, model, temperature, output_dir)
-        log_dir = output_dir / "raw"
 
+    log_dir = output_dir / "raw"
     complete_path = log_dir / f"{test_id}_complete.json"
     evaluation = _validate_from_complete_json(test_id, complete_path)
     assert evaluation["validation"]["valid"], f"Validation failed for {test_id}"
diff --git a/tests/conftest.py b/tests/conftest.py
index 1eafd22..d2b85ee 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,8 +1,6 @@
 """Pytest configuration and fixtures for evaluation tests."""
 
-import asyncio
 from collections.abc import Generator
-from pathlib import Path
 from typing import Any, Protocol, cast
 
 import pytest
@@ -17,12 +15,6 @@ class _ItemWithFuncargs(Protocol):
     def get_closest_marker(self, name: str) -> pytest.Mark | None: ...
 
 
-@pytest.fixture(scope="session")
-def event_loop_policy() -> asyncio.AbstractEventLoopPolicy:
-    """Configure asyncio for limited concurrency."""
-    return asyncio.DefaultEventLoopPolicy()
-
-
 @pytest.fixture
 def model(request: pytest.FixtureRequest) -> str:
     """Model from CLI or default."""
@@ -35,21 +27,12 @@ def temperature(request: pytest.FixtureRequest) -> float:
     return cast(float, request.config.getoption("--temperature"))
 
 
-@pytest.fixture
-def output_dir(request: pytest.FixtureRequest) -> Path:
-    """Output directory for test results."""
-    path = Path(request.config.getoption("--output-dir"))
-    path.mkdir(parents=True, exist_ok=True)
-    return path
-
-
 def pytest_addoption(parser: pytest.Parser) -> None:
     """Add custom CLI options."""
     parser.addoption("--model", default="gpt-4o-mini", help="Model to use")
     parser.addoption("--temperature", default=0.001, type=float, help="Temperature for LLM (default: 0.001)")
     parser.addoption("--output-dir", default="outputs", help="Output directory for results")
     parser.addoption("--validate-only", action="store_true", help="Only validate existing logs")
-    parser.addoption("--log-dir", default="outputs/raw", help="Directory with logs (for validate mode)")
 
 
 def pytest_configure(config: pytest.Config) -> None:
diff --git a/uv.lock b/uv.lock
index fd3eb29..ebd9109 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,17 +1,13 @@
 version = 1
 revision = 3
-requires-python = ">=3.13.5"
-resolution-markers = [
-    "python_full_version < '4'",
-    "python_full_version >= '4'",
-]
+requires-python = ">=3.13.5, <3.14"
 
 [manifest]
 overrides = [{ name = "openai", extras = ["aiohttp"], specifier = ">=1.108.0" }]
 
 [[package]]
 name = "a2a-sdk"
-version = "0.3.10"
+version = "0.3.11"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "google-api-core" },
@@ -20,9 +16,9 @@ dependencies = [
     { name = "protobuf" },
     { name = "pydantic" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/de/5a/3634ce054a8985c0d2ca0cb2ed1c8c8fdcd67456ddb6496895483c17fee0/a2a_sdk-0.3.10.tar.gz", hash = "sha256:f2df01935fb589c6ebaf8581aede4fe059a30a72cd38e775035337c78f8b2cca", size = 225974, upload-time = "2025-10-21T20:40:38.423Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/11/2c/6eff205080a4fb3937745f0bab4ff58716cdcc524acd077a493612d34336/a2a_sdk-0.3.11.tar.gz", hash = "sha256:194a6184d3e5c1c5d8941eb64fb33c346df3ebbec754effed8403f253bedb085", size = 226923, upload-time = "2025-11-07T11:05:38.496Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/ba/9b/82df9530ed77d30831c49ffffc827222961422d444c0d684101e945ee214/a2a_sdk-0.3.10-py3-none-any.whl", hash = "sha256:b216ccc5ccfd00dcfa42f0f2dc709bc7ba057550717a34b0b1b34a99a76749cf", size = 140291, upload-time = "2025-10-21T20:40:36.929Z" },
+    { url = "https://files.pythonhosted.org/packages/00/f9/3e633485a3f23f5b3e04a7f0d3e690ae918fd1252941e8107c7593d882f1/a2a_sdk-0.3.11-py3-none-any.whl", hash = "sha256:f57673d5f38b3e0eb7c5b57e7dc126404d02c54c90692395ab4fd06aaa80cc8f", size = 140381, upload-time = "2025-11-07T11:05:37.093Z" },
 ]
 
 [[package]]
@@ -36,7 +32,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.13.1"
+version = "3.13.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -47,59 +43,25 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ba/fa/3ae643cd525cf6844d3dc810481e5748107368eb49563c15a5fb9f680750/aiohttp-3.13.1.tar.gz", hash = "sha256:4b7ee9c355015813a6aa085170b96ec22315dabc3d866fd77d147927000e9464", size = 7835344, upload-time = "2025-10-17T14:03:29.337Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/16/6d/d267b132342e1080f4c1bb7e1b4e96b168b3cbce931ec45780bff693ff95/aiohttp-3.13.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:55785a7f8f13df0c9ca30b5243d9909bd59f48b274262a8fe78cee0828306e5d", size = 730727, upload-time = "2025-10-17T14:00:39.681Z" },
-    { url = "https://files.pythonhosted.org/packages/92/c8/1cf495bac85cf71b80fad5f6d7693e84894f11b9fe876b64b0a1e7cbf32f/aiohttp-3.13.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:4bef5b83296cebb8167707b4f8d06c1805db0af632f7a72d7c5288a84667e7c3", size = 488678, upload-time = "2025-10-17T14:00:41.541Z" },
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