Verified65% confidenceFactExact time
During 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.
3
Sources
65%
Confidence
Long-term
Relevance
9/27/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen the model requests a tool call, the finish_reason field in the response has the value tool_calls rather than stop, which is the standard signal for determining whether the model is requesting a tool call.79% similarUnverified工具调用的底层依赖函数签名描述（Function Schema），模型在推理时决定是否触发调用、传入参数，由宿主程序执行并将结果回注上下文78% 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.77% similarVerifiedTool 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.77% similarUnverifiedA single function-calling process requires at least two large model invocations—one to decide which tool to call, and one to interpret the result returned by the tool.76% similar
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