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Amazon's 6-Failure-Type Agent Error Recovery Taxonomy: The Production Eval Standard for Agentic Resilience
AWS Machine Learning Blogmedium signalAmazon's published evaluation framework (AWS ML Blog, February 2026) defines six failure types that production agent evals must systematically measure: inappropriate planning, invalid tool invocations, malformed parameters, unexpected tool response formats, authentication failures, and memory retrieval errors. A production-grade agent must demonstrate consistent error recovery across all six types, assessed via trajectory-level metrics that evaluate full reasoning paths including intermediate steps and tool selection decisions rather than just final task completion rate. Trajectory metrics enable process debugging where outcome metrics only show pass/fail.
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