Unverified50% confidenceFactExact time
The tool description (Tool Schema) determines whether the LLM can select the tool in the correct scenario and correctly fill in the parameters, and is a key engineering detail for the stable operation of the Agent.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Deconstructing ReAct: A Hands-On Guide to Building AI Agents from Scratch
bilibili枫叶边城10/16/2026
Related Entities
Related Claims
VerifiedThe 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.77% similarUnverifiedThe core idea of the Harness architecture (Agent Harness) is to provide scaffolding for LLMs, enabling them to perform complex multi-step, cross-tool tasks, covering mechanisms such as context management, tool management, execution state management, context compression, and prompt engineering77% similarVerifiedThe underlying mechanism of Tool Use is that developers pre-define the name, description, and parameter structure (Schema) of tools, and the model determines during inference when and which tool to call and outputs structured invocation instructions.76% similarUnverifiedAn 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.76% similarUnverifiedThe quality of a tool's description (name and parameter explanations) directly affects the LLM's call accuracy and is an aspect that developers need to focus on polishing in actual deployment.76% similar
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