Verified65% confidenceFactExact time
In the tool-calling mechanism, developers attach a tool description list in JSON Schema format when calling the LLM API, and the model outputs call parameters in structured JSON format
3
Sources
65%
Confidence
Long-term
Relevance
7/25/2026
First Seen
Sources
Agentic AI入门课程怎么选？资深工程师实战选课指南
redditr/learnmachinelearning7/11/2026
Related Claims
UnverifiedLLM本身并不直接执行工具，而是生成一个JSON字符串指定要调用的工具名和参数，由Agent执行逻辑解析并实际调用对应函数84% similarVerifiedFunction Calling机制中，开发者将工具的名称、功能描述、参数Schema（通常为JSON Schema格式）注入到模型的请求中，模型输出结构化的JSON而非自然语言来调用工具82% similarVerifiedThe Function Calling mechanism allows LLMs to declare in structured JSON format the external tools and parameters they need to invoke, and the tool's return value is injected as-is into the next round of model input.82% similarVerifiedUnder the tool-calling paradigm, the LLM outputs a structured function-call intent (in JSON format), which is actually executed by an external system that returns the result to the model.81% similarUnverified工具调用标准逐渐形成以JSON Schema描述工具、以结构化消息传递调用结果的事实标准80% similar
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