Unverified50% confidenceFactExact time
The Tool workflow is model-driven: the user's question is first sent to the LLM, which determines which tool to call, with decision-making authority residing in the model
1
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50%
Confidence
Long-term
Relevance
10/10/2026
First Seen
Sources
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Related Claims
UnverifiedLLM large model nodes configure instructions through Prompt Engineering, determining the role and style in which the model outputs content.77% similarUnverifiedWhen 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.76% similarVerifiedDuring 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.76% similarUnverifiedLLM应用的行为由系统提示词、RAG数据源、底层模型版本、工具调用与Agent能力等高度可变的部分共同决定73% similarUnverifiedCline's implementation relies on the Function Calling / Tool Use capability of LLMs, where the model can actively invoke predefined tools during inference and form a multi-turn reasoning-action loop.73% similar
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