Unverified50% confidenceFactExact time
Evaluating only the Agent's final output ignores key failures in the process (such as invalid calls, repeated attempts or dangerous intermediate steps).
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
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Related Claims
UnverifiedEvaluation methods that look only at the final answer (answer-only) count invalid execution processes as successes.78% similarUnverifiedWhen testing agents, failure cases should be deliberately included; an agent that only passes on demo requests is not yet ready for real workflows78% similarUnverifiedMost Agent evaluations focus only on task completion (such as whether a flight was booked, a ticket was closed, or the code runs), and almost no evaluation measures whether the Agent noticed warnings in the context before executing.75% similarUnverifiedBecause Agent outputs are non-deterministic, simple unit tests are insufficient to guarantee quality; it is necessary to maintain a regression evaluation set to quantitatively compare key metrics before and after releases.73% similarUnverifiedOne pattern of evaluation failure is that the problem lies in the eval harness itself rather than in the model or agent being evaluated.73% similar
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