Unverified50% confidenceOpinionExact time
在 ReAct 为代表的 Agent 框架中,工具调用的 JSON 格式错误是导致 Agent 循环失败的最常见原因之一
1
Sources
50%
Confidence
Long-term
Relevance
7/23/2026
First Seen
Sources
Related Claims
UnverifiedAgents that rely on JSON-formatted output may encounter dozens of formatting anomalies across thousands of calls, causing downstream parsing failures.76% similarUnverified构建LLM Agent时常见的格式问题包括返回散文而非合法JSON、分镜描述过长、缺失必填字段、凭空捏造不存在的工具参数75% similarUnverified代理层若在转换中改变JSON序列化顺序、注入动态时间戳或调整消息结构,会导致前缀不一致使缓存彻底失效73% similarUnverifiedThe JSON structure returned by LLM APIs may vary across model versions.68% similarUnverifiedAnthropic's Tool Use specification requires clients to declare available tools to the model in JSON Schema format; the model triggers calls via tool_use content blocks, and results are returned in the form of tool_result.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/594138API
curl https://kongchang.com/api/v1/knowledge/claims/594138MCP
get_claim(id=594138)