Unverified50% confidenceFactExact time
The actual invocation of tools is not performed by the large model; the model is only responsible for outputting which tool to call and its parameters, while the client is what truly executes the tool function.
1
Sources
50%
Confidence
Long-term
Relevance
8/30/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedTool的语言驱动工具选择机制让工具开发与模型训练解耦，开发者无需重新训练模型只需注册新工具即可扩展Agent能力75% similarUnverifiedThe 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 prompt75% similarUnverifiedIf the requirement is only to reliably call a certain API or tool, a model at the tool-calling level is sufficient and there is no need to use the latest models with orchestration capabilities.74% similarUnverifiedTools（Function Calling）是让大模型与自己内部系统进行通信的方式，基础大模型本身不具备调用外部API的能力73% similarUnverifiedThe quality of a tool's description directly determines whether the model can select the correct tool; vague descriptions cause the model to call the wrong tool or pass incorrect parameters.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/826991API
curl https://kongchang.com/api/v1/knowledge/claims/826991MCP
get_claim(id=826991)