fix: resolve linting issues

Author: Jai0401

src/agents/function_schema.py

@@ -36,7 +36,7 @@ class FuncSchema:
     strict_json_schema: bool = True
     """Whether the JSON schema is in strict mode. We **strongly** recommend setting this to True,
     as it increases the likelihood of correct JSON input."""
-    
+
     def to_call_args(self, data: BaseModel) -> tuple[list[Any], dict[str, Any]]:
         """
         Converts validated data from the Pydantic model into (args, kwargs), suitable for calling

src/agents/tool.py

@@ -189,7 +189,8 @@ def function_tool(
         failure_error_function: If provided, use this function to generate an error message when
             the tool call fails. The error message is sent to the LLM. If you pass None, then no
             error message will be sent and instead an Exception will be raised.
-        strict_mode: If False, parameters with default values become optional in the function schema.
+        strict_mode: If False, parameters with default values become optional in the
+            function schema.
     """
 
     def _create_function_tool(the_func: ToolFunction[...]) -> FunctionTool:

tests/test_function_tool_decorator.py

@@ -175,7 +175,7 @@ def multiple_optional_params_function(x: int = 42, y: str = "hello", z: int | No
 async def test_multiple_optional_params_function():
     tool = multiple_optional_params_function
 
-    input_data = {}
+    input_data: dict[str,Any] = {}
     output = await tool.on_invoke_tool(ctx_wrapper(), json.dumps(input_data))
     assert output == "42_hello_no_z"
 
@@ -185,4 +185,4 @@ async def test_multiple_optional_params_function():
 
     input_data = {"x": 10, "y": "world", "z": 99}
     output = await tool.on_invoke_tool(ctx_wrapper(), json.dumps(input_data))
-    assert output == "10_world_99"
+    assert output == "10_world_99"