Agent Evaluation: What to Measure (Beyond ‘Seems Good’) in Agentic AI
Agent Evaluation: What to Measure (Beyond ‘Seems Good’)
Why evaluation is hard
Agents do multi-step work, so failures can be subtle: wrong tool called, missing constraint, or incorrect assumption.
Core metrics
- Task success rate
- Tool-call accuracy
- Hallucination/ungrounded claim rate
- Latency and cost
- User correction rate

