Unverified70% confidenceFactExact time
The tool-calling capability of intelligent agents allows language models to determine whether a tool needs to be called, generate call parameters conforming to the API specification, and continue reasoning based on the execution results.
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70%
Confidence
Long-term
Relevance
9/5/2026
First Seen
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Related Claims
VerifiedThe key breakthrough in tool-calling capability lies in the model's ability to generate structured function-call requests and correctly parse tool return results before continuing to reason, rather than simply concatenating tool outputs into the prompt79% similarUnverifiedThe complete workflow of an intelligent agent is: user inputs a requirement → perceive and extract keywords → large model reasons and determines which tools to call → execution layer calls APIs or RAG database → generate result and return.78% similarUnverifiedIn agent frameworks, most model calls are not used to generate content but to make decisions (such as selecting tools, loading skills, security checks).78% similarUnverifiedThe accuracy of tool calling depends on the model's understanding of the task and the clarity of the tool descriptions.77% similarUnverifiedSkills机制引入明确的输入/输出Schema约束，使AI在调用工具时能进行参数验证和错误处理77% similar
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