diff --git a/src/agents/_run_impl.py b/src/agents/_run_impl.py
index 6e23e9507..6c417b308 100644
--- a/src/agents/_run_impl.py
+++ b/src/agents/_run_impl.py
@@ -961,7 +961,10 @@ async def _check_for_final_output_from_tools(
         context_wrapper: RunContextWrapper[TContext],
         config: RunConfig,
     ) -> ToolsToFinalOutputResult:
-        """Returns (i, final_output)."""
+        """Determine if tool results should produce a final output.
+        Returns:
+            ToolsToFinalOutputResult: Indicates whether final output is ready, and the output value.
+        """
         if not tool_results:
             return _NOT_FINAL_OUTPUT
 
diff --git a/src/agents/agent.py b/src/agents/agent.py
index 55de35e50..2be7595b5 100644
--- a/src/agents/agent.py
+++ b/src/agents/agent.py
@@ -205,8 +205,9 @@ class Agent(AgentBase, Generic[TContext]):
     This lets you configure how tool use is handled.
     - "run_llm_again": The default behavior. Tools are run, and then the LLM receives the results
         and gets to respond.
-    - "stop_on_first_tool": The output of the first tool call is used as the final output. This
-        means that the LLM does not process the result of the tool call.
+    - "stop_on_first_tool": The output from the first tool call is treated as the final result.
+        In other words, it isn’t sent back to the LLM for further processing but is used directly
+        as the final output.
     - A StopAtTools object: The agent will stop running if any of the tools listed in
         `stop_at_tool_names` is called.
         The final output will be the output of the first matching tool call.