Unverified50% confidenceFactExact time
In Mantle, tools are async Python functions with decorators, and type hints and descriptions are the only basis for the LLM to understand a tool's purpose.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAn abstract tool stub is a hypothetical function signature generated by the LLM that does not point to any existing concrete tool in the registry, but instead declares in a structured way the inputs, outputs and capabilities required by the task.72% similarUnverifiedDefining a tool in LangChain requires adding a tool decorator to the function, or inheriting a specific parent class.68% similarUnverifiedThe tool definitions themselves also consume context tokens, and the model's understanding of a tool depends on the clarity of its description.67% similarVerifiedThe tool-calling (Function Calling / Tool Use) capability enables LLMs to output structured intent instructions, which are captured by an external execution layer to actually operate on systems.67% similarUnverifiedPython's @tool decorator uses setattr to attach a __tool_definition__ attribute to the function object, allowing the function to carry self-descriptive information at runtime.67% similar
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