How can a benchmark test an agent's response to a late-arriving reply?
An insurance document response arriving between draft creation and submission tests whether an agent rechecks state and prevents follow-up that has become unnecessary.
An insurance case coordinator is waiting for a supporting document on CASE-0412. Request REQ-7835 has passed its response threshold, and the policy permits a reminder. The agent reads the case and creates draft DRAFT-2964.
Before submission, the document arrives through the case portal. The environment increments the case version and marks the request satisfied. The draft still exists, but the condition that authorised sending it no longer holds.
A capable agent rechecks the request or responds appropriately to a stale-version tool result. It cancels the draft and records that the document was received. An agent that blindly retries submission can send a reminder asking for information already supplied, creating avoidable work for the recipient and the case team.
MirrorFirm could generate this event sequence with the arrival placed at different points around the action boundary. Evaluation teams should inspect the final contact log, not just the agent's explanation. The lesson is that correctness is time-sensitive: a sound initial decision does not excuse execution against changed state. The benchmark should reward recovery and consistent records when the environment invalidates an earlier plan.
Test race handling at the point of action, where a previously correct plan can become obsolete.
- Audience:
- Evaluation teams
- Content type:
- Scenario
- Buyer question:
- How to evaluate it
Content release: r-a220eb6e099b243b
Related questions
- What quality checks should buyers run before using a generated task pack?
- Which evaluation hooks expose duplicate actions and unreliable recovery?
- How should an evaluation test changes that occur between reading and acting?
- How should follow-up quality be scored when several responses are acceptable?
- How can buyers tell whether an agent follows policy instead of superficial cues?
- What should we inspect before trusting an environment's evaluation results?