Review Copilot Studio Agents Before Release with Agent Review Tool
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Use Agent Review Tool to inspect findings, skill quality, evaluation coverage and configuration relationships before releasing a Copilot Studio agent.
TL;DR
Agent Review Tool in Copilot Agent Kit combines deterministic checks with AI-supported analysis across findings, skill quality, evaluation coverage and agent architecture. Establish a baseline, investigate evidence by severity and skill, inspect related capabilities in Agent map, make one focused correction, rerun evaluations and review again. A ZAVA example improved from 63% and 39/54 checks passing to 67% and 51/54, while evaluation coverage remained 0/7.
Original by Ramakrishnan Raman, on The Custom Engine. Read the original
This is our own summary, not a republication or full translation.
Governance takeaway
- Makers: building or fixing an agent should follow the tool’s actual workflow — baseline, investigate by severity and skill, inspect related capabilities in Agent map, make one focused correction, then rerun evaluations — rather than chasing the percentage directly.
- Leadership/Business: don’t read an improved score alone as proof of readiness — in the ZAVA example the check-pass rate rose from 39/54 to 51/54 while evaluation coverage stayed at 0/7, meaning runtime behavior was never actually verified.
- Admins/CoE: treat any Agent Review score as triage input for release decisions, not a certification gate, since the tool finds configuration issues but doesn’t prove an agent invokes correctly in production.