Unverified50% confidenceSolutionExact time
By forcing the model to answer using a single tool, you can obtain JSON output that conforms to a schema rather than free-form text that needs to be parsed manually.
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50%
Confidence
Long-term
Relevance
10/11/2026
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Related Claims
UnverifiedDevelopers can use system prompts or JSON Schema to force the model to return only enumerated values from predefined fields, disallowing free-text output containing value judgments.80% 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.77% similarUnverifiedThe tool-calling capability of a large model itself actually only outputs a structured piece of JSON data describing which function to call and what parameters to pass; the model itself has no ability to execute code.76% similarUnverifiedJSON Schema annotation keywords such as title, description, and examples do not affect validation logic, but large models rely on these annotations to understand parameter meanings76% similarUnverified在FastMCP中，函数的类型提示和文档字符串会自动转换为符合JSON Schema规范的工具模式，无需手写JSON Schema76% similar
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