◇ Could this help me?
Yes. These five are the right things to watch, and the point that a high accuracy score says nothing about whether work finished, what it cost, or how confidently the agent invented an answer is correct. The per-topic breakdown of hallucination rate is the most actionable idea here because it turns a vague quality worry into a specific list of weak areas. This is a general practice.
Add measurement for these five agent metrics to this project and show me where each would be recorded: task completion rate counting only fully finished tasks, faithfulness of each answer to its source material, hallucination rate broken down by topic, cost per task in tokens and API and tool calls, and escalation rate for human intervention. Propose the smallest logging change that captures all five, and show me what the resulting report would look like.