Custom tools(implemented in "Subclass Basetool" approach) cannot access to state via run_manager

[humbroll]

Checked other resources

• I added a very descriptive title to this issue.
• I searched the LangGraph/LangChain documentation with the integrated search.
• I used the GitHub search to find a similar question and didn't find it.
• I am sure that this is a bug in LangGraph/LangChain rather than my code.
• I am sure this is better as an issue rather than a GitHub discussion, since this is a LangGraph bug and not a design question.

Example Code

class GooglePlacesTool(BaseTool):
    """Tool that queries the Google places API."""

    name: str = "google_places"
    description: str = (
        "A tool that queries the Google Places API. "
        "Useful for finding places based on a search query. "
        "This tool can help validate addresses or discover locations "
        "from ambiguous text inputs. "
        "Input should be a search query string."
    )
    api_wrapper: GooglePlacesAPIWrapper = Field(default_factory=GooglePlacesAPIWrapper)  # type: ignore[arg-type]
    args_schema: Type[BaseModel] = GooglePlacesSchema


    def _run(
        self,
        query: str,
        run_manager: Optional[CallbackManagerForToolRun] = None,
    ) -> str:
        logger.debug(f"RunManager has state?: {hasattr(run_manager, 'state')}")

        # Run the original tool logic
        result = self.api_wrapper.run(query)

        return result

Error Message and Stack Trace (if applicable)

RunManager has state?: False

Description

• I'm trying to access states in a custom tool implemented using the "[Subclass Basetool](https://python.langchain.com/docs/how_to/custom_tools/#subclass-basetool)" approach.
• I've confirmed that I can access state with the ["@tool"](https://python.langchain.com/docs/how_to/custom_tools/#tool-decorator) decorator method.

How can I access state in a custom tool using the "Subclass Basetool" approach?

System Info

$ pip freeze | grep langchain langchain==0.3.0 langchain-anthropic==0.1.23 langchain-cohere==0.2.4 langchain-community==0.3.0 langchain-core==0.3.0 langchain-experimental==0.0.65 langchain-google-community==2.0.0 langchain-openai==0.2.0 langchain-text-splitters==0.3.0 langchainhub==0.1.21