OpenRouter publishes tutorial on testing agent tool-call accuracy
What happened
On September 30, 2026, OpenRouter published a guide on three ways to test how accurately an AI agent calls tools: LLM-as-judge with no reference answer, deterministic parameter validation, and trajectory comparison. The guide splits tool-calling failures into two kinds — picking the wrong tool, and picking the right tool but passing wrong arguments. The first is handled by an LLM judge, since tool choice depends on context; the second by validating structure against a JSON Schema and then checking argument values separately. Multi-step flows are checked with trajectory comparison, which looks at the order of calls.
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- AI HOT · Tips & opinionsOpenRouter 教程：如何测试 AI Agent 的工具调用准确性
OpenRouter 发布教程，介绍测试 AI Agent 工具调用准确性的三种方法：无参考答案的 LLM 评判、确定性的参数校验和轨迹对比。教程指出工具调用失败分两类，选错工具和选对工具但传错参数，前者用 LLM 评判处理上下文相关的选择，后者用 JSON Schema 校验结构、再单独核对参数值，多步流程则用轨迹对比检查调用顺序。
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