Unverified50% confidenceFactExact time
When a large language model calls tools, it needs to place the names, descriptions, and parameter schemas of all available tools into the context, from which the model selects the most appropriate one during inference.
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50%
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Long-term
Relevance
10/9/2026
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Related Claims
VerifiedDuring inference, large models read tool metadata as context and use semantic understanding to determine whether a tool needs to be called and what parameters to pass, a process known as Function Calling or Tool Use.79% similarUnverifiedDuring inference, the model receives a metadata list of all registered tools, and the tool description text is directly incorporated into the model's reasoning context.79% similarVerifiedThe tool-calling mechanism allows large language models to dynamically invoke external functions during inference, representing a fundamental leap from language models to action models.74% similarVerifiedThe ability of a large model to actively infer design specifications from platform context technically falls under Contextual Reasoning, which internalizes industry common sense from massive amounts of data rather than relying on hard-coded rules.72% similarUnverified定制Skill需用自然语言描述适用场景边界供模型判断调用时机,同时以代码或配置文件定义执行逻辑供系统运行71% similar
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