Unverified50% confidenceSolutionExact time
High-frequency error patterns in tool calls from open-source models include: passing null values for optional fields, outputting JSON arrays as strings instead of true arrays, wrapping parameters in empty objects, and missing parameter values (e.g., offset).
1
Sources
50%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
UnverifiedArray format errors refer to the model outputting a string in JSON array form rather than a true array74% similarUnverified大语言模型（LLM）启用JSON Mode获取结构化输出时，输出本质上仍是文本，可能出现字段缺失、数据类型错误或模型幻觉导致的非预期字段71% similarUnverifiedAgents that rely on JSON-formatted output may encounter dozens of formatting anomalies across thousands of calls, causing downstream parsing failures.67% similarUnverifiedJSON-RPC 2.0 相比 1.0 引入了具名参数、批量调用和更完善的错误码体系62% 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62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/590208API
curl https://kongchang.com/api/v1/knowledge/claims/590208MCP
get_claim(id=590208)