Unverified50% confidenceCautionExact time
One pattern of evaluation failure is that the problem lies in the eval harness itself rather than in the model or agent being evaluated.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
Unverified工具设计应遵循动作幂等、错误明确的原则,否则模型调用失败无法恢复,工具描述质量直接决定Agent成败74% similarUnverifiedAgent failure modes can be understood across three architectural layers: planning-layer failure, execution-layer failure, and reflection-layer failure, each with entirely different mitigation strategies.71% similarUnverifiedFailures in AI agents are often semantic deviations rather than explicit error codes, and this kind of "successful failure" requires the orchestration layer to have semantic-level error recognition capability.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/915801API
curl https://kongchang.com/api/v1/knowledge/claims/915801MCP
get_claim(id=915801)