"""The unique name of the tool that clearly communicates its purpose."""
    description: str
    """Used to tell the model how/when/why to use the tool.
    
    You can provide few-shot examples as a part of the description.
    """
    args_schema: Optional[Type[BaseModel]] = None
    """Pydantic model class to validate and parse the tool's input arguments."""
    return_direct: bool = False
    """Whether to return the tool's output directly. Setting this to True means
    
    that after the tool is called, the AgentExecutor will stop looping.
    """
    verbose: bool = False
    """Whether to log the tool's progress."""
    callbacks: Callbacks = Field(default=None, exclude=True)
    """Callbacks to be called during tool execution."""
    callback_manager: Optional[BaseCallbackManager] = Field(default=None, exclude=True)
    """Deprecated. Please use callbacks instead."""
    tags: Optional[List[str]] = None
    """Optional list of tags associated with the tool. Defaults to None
    These tags will be associated with each call to this tool,
    and passed as arguments to the handlers defined in `callbacks`.
    You can use these to eg identify a specific instance of a tool with its use case.
    """
    metadata: Optional[Dict[str, Any]] = None
    """Optional metadata associated with the tool. Defaults to None
    This metadata will be associated with each call to this tool,
    and passed as arguments to the handlers defined in `callbacks`.
    You can use these to eg identify a specific instance of a tool with its use case.
    """
    handle_tool_error: Optional[
        Union[bool, str, Callable[[ToolException], str]]
    ] = False