Verified65% confidenceFactExact time
Under the tool-calling paradigm, the LLM outputs a structured function-call intent (in JSON format), which is actually executed by an external system that returns the result to the model.
3
Sources
65%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
Stop Treating LLMs as Default Execution Engines: Know the Boundaries, Build Robust AI Architecture
hackernewshackernews7/7/2026
Related Claims
VerifiedThe Function Calling mechanism allows LLMs to declare in structured JSON format the external tools and parameters they need to invoke, and the tool's return value is injected as-is into the next round of model input.84% similarVerifiedTools are essentially function wrappers for external capabilities, paired with JSON Schema descriptions that enable the model to understand a tool's functionality and parameter format.82% similarVerifiedIn the tool-calling mechanism, developers attach a tool description list in JSON Schema format when calling the LLM API, and the model outputs call parameters in structured JSON format81% similarUnverifiedLLM本身并不直接执行工具，而是生成一个JSON字符串指定要调用的工具名和参数，由Agent执行逻辑解析并实际调用对应函数79% similarUnverified工具调用标准逐渐形成以JSON Schema描述工具、以结构化消息传递调用结果的事实标准78% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/452241API
curl https://kongchang.com/api/v1/knowledge/claims/452241MCP
get_claim(id=452241)