Verified75% confidenceSolutionExact time
The key breakthrough in tool-calling capability lies in the model's ability to generate structured function-call requests and correctly parse tool return results before continuing to reason, rather than simply concatenating tool outputs into the prompt
3
Sources
75%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
UnverifiedThe tool-calling capability of intelligent agents allows language models to determine whether a tool needs to be called, generate call parameters conforming to the API specification, and continue reasoning based on the execution results.79% similarUnverifiedConstraining tasks within a clear routine framework is a pragmatic approach to improving the reliability of large model tool outputs.78% similarUnverified意图路由的Skills创新在于将路由判断交给大模型完成,让模型既充当意图识别器又充当参数提取器,最终触发确定性脚本77% similarUnverifiedSkill机制通过在上下文中注入结构化的Markdown指令引导模型完成特定任务,无需对模型本身进行微调77% similarVerifiedThe core mechanism of an agent is: the model issues a tool call request → code runs the tool → the execution result is returned to the model → the model decides the next step, forming a closed loop.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/551887API
curl https://kongchang.com/api/v1/knowledge/claims/551887MCP
get_claim(id=551887)