diff --git a/src/mcp_agent/llm/providers/augmented_llm_openai.py b/src/mcp_agent/llm/providers/augmented_llm_openai.py
index 42c728f70..1e876184c 100644
--- a/src/mcp_agent/llm/providers/augmented_llm_openai.py
+++ b/src/mcp_agent/llm/providers/augmented_llm_openai.py
@@ -78,7 +78,7 @@ def __init__(self, provider: Provider = Provider.OPENAI, *args, **kwargs) -> Non
                 self._reasoning_effort = self.context.config.openai.reasoning_effort
 
         # Determine if we're using a reasoning model
-        # TODO -- move this to model capabiltities, add o4.
+        # TODO -- move this to model capabilities, add o4.
         chosen_model = self.default_request_params.model if self.default_request_params else None
         self._reasoning = chosen_model and (
             chosen_model.startswith("o3") or chosen_model.startswith("o1")
@@ -325,7 +325,7 @@ async def post_tool_call(
         return result
 
     def _prepare_api_request(
-        self, messages, tools, request_params: RequestParams
+        self, messages, tools: List[ChatCompletionToolParam] | None, request_params: RequestParams
     ) -> dict[str, str]:
         # Create base arguments dictionary
 
@@ -345,9 +345,8 @@ def _prepare_api_request(
             )
         else:
             base_args["max_tokens"] = request_params.maxTokens
-
-        if tools:
-            base_args["parallel_tool_calls"] = request_params.parallel_tool_calls
+            if tools:
+                base_args["parallel_tool_calls"] = request_params.parallel_tool_calls
 
         arguments: Dict[str, str] = self.prepare_provider_arguments(
             base_args, request_params, self.OPENAI_EXCLUDE_FIELDS.union(self.BASE_EXCLUDE_FIELDS)