Unverified60% confidenceFactExact time
A 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.
2
Sources
60%
Confidence
Long-term
Relevance
8/22/2026
First Seen
Sources
Related Claims
UnverifiedTools calling (Function Calling) allows a model to actively trigger predefined functions during a conversation and incorporate the results into its response, and was released by large model vendors earlier than MCP.77% 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% similarVerifiedThere are two paths to getting the model to output an accurate solution: writing detailed requirements all at once, or using follow-up questioning to have the model think on the user's behalf and accumulate context.76% similarUnverifiedFunction Calling采用关注点分离设计，语言模型只负责决策，真正的工具执行由应用层代码负责，模型不直接触碰外部系统76% similarUnverifiedFunction Calling本质上是模型决策、外部执行的两阶段流程，模型本身并不直接运行代码76% similar
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