Verified75% confidenceFactExact time
The basic principle of tool calling is that the model identifies scenarios requiring external capabilities, outputs a structured function call request (usually in JSON format), and after the external system executes it, the result is returned to the model to continue reasoning.
3
Sources
75%
Confidence
Long-term
Relevance
9/8/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedTool calling allows models to dynamically invoke external functions during inference and incorporate execution results into the context of subsequent reasoning, forming a closed loop of perception, decision-making, and execution.78% similarVerifiedFunction Calling uses task-specific fine-tuning to enable models to output structured content conforming to a predefined JSON Schema under specific conditions.75% similarUnverified普通大模型的工具调用是被动的，模型只能声明想调用某个函数及其参数，实际执行仍需外部系统完成75% similarUnverified提示词工程通过角色定义、输出格式约束（如JSON Schema）、少样本示例等手段约束模型概率性输出74% similarUnverifiedAnthropic 在训练阶段通过大量函数调用示例对模型进行微调，使其学会何时触发工具及如何构造合法的 JSON 参数73% similar
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