diff --git a/libs/core/langchain_core/tools/base.py b/libs/core/langchain_core/tools/base.py
index 34bf4c4582b..4df4a98b203 100644
--- a/libs/core/langchain_core/tools/base.py
+++ b/libs/core/langchain_core/tools/base.py
@@ -689,9 +689,7 @@ class ChildTool(BaseTool):
                     f"args_schema must be a Pydantic BaseModel, got {self.args_schema}"
                 )
                 raise NotImplementedError(msg)
-            return {
-                k: getattr(result, k) for k, v in result_dict.items()
-            }
+            return {k: getattr(result, k) for k, v in result_dict.items()}
         return tool_input
 
     @model_validator(mode="before")
diff --git a/libs/core/tests/unit_tests/test_tools.py b/libs/core/tests/unit_tests/test_tools.py
index 3e0ac61cbcd..934cf5c6364 100644
--- a/libs/core/tests/unit_tests/test_tools.py
+++ b/libs/core/tests/unit_tests/test_tools.py
@@ -634,7 +634,7 @@ def test_named_tool_decorator_return_direct() -> None:
     """Test functionality when arguments and return direct are provided as input."""
 
     @tool("search", return_direct=True)
-    def search_api(query: str, *args: Any) -> str:
+    def search_api(query: str) -> str:
         """Search the API for the query."""
         return "API result"
 
@@ -2549,24 +2549,28 @@ def test_tool_args_schema_with_pydantic_validator() -> None:
         x: NestedArgsSchema
 
         @model_validator(mode="before")
-        def wrap_in_x(cls, data: dict) -> dict:
+        def wrap_in_x(cls, data: Any) -> Any:  # noqa: N805
+            if not isinstance(data, dict):
+                return {"x": data}
+
             if "x" not in data:
                 return {"x": data}
             return data
 
     @tool(args_schema=ArgsSchema)
-    def foo(**args) -> ArgsSchema:
+    def foo(**args: Any) -> ArgsSchema:
         """Bar."""
         return ArgsSchema.model_validate(args)
 
-
     # Test case where validator is identity function
     valid_inputs = {"x": {"y": 5}}
     assert foo.invoke(valid_inputs) == ArgsSchema.model_validate(valid_inputs)
 
     # Test case where validator wraps input in "x"
     invalid_inputs = {"y": 5}
-    assert foo.invoke(invalid_inputs) == ArgsSchema.model_validate({"x": invalid_inputs})
+    assert foo.invoke(invalid_inputs) == ArgsSchema.model_validate(
+        {"x": invalid_inputs}
+    )
 
 
 def test_title_property_preserved() -> None: