Unverified50% confidenceSolutionExact time
Metrics for evaluating the overall performance of an Agent include number of steps, time elapsed, token consumption, and number of failed retries
1
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50%
Confidence
Long-term
Relevance
9/21/2026
First Seen
Sources
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Related Claims
UnverifiedActionable Agent evaluation thresholds include a task decomposition rate and tool selection accuracy of 90% or above, a closed-loop completion rate of no less than 85%, and an error recovery rate of no less than 80%.73% similarUnverifiedIn evaluations of early Agent systems, a Stanford research team found that a single-step error rate of 5% can lead to a final failure rate exceeding 40% in 10-step tasks.69% similarUnverifiedFor an agent that executes 10 steps, adding a read-back check at each step may increase token consumption by 40%–80% and significantly raise end-to-end latency.69% similarUnverified功效分析需要预先指定显著性水平α（通常0.05）、期望统计功效（通常0.8或0.9）和预期效应量三个核心参数65% similarUnverified智能筛选回归用例Agent能将回归测试的用例数量压缩到全量的20%-30%，同时保持95%以上的缺陷发现率65% similar
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