Response QA Agent | Agentverse Documentation

Your Agent’s Testing tab is where you check responses and discoverability before you rely on organic traffic. Use Manual Test and Generate Test, then review Test Performance and Test Run History to improve how well the Agent matches real queries.

For the full discoverability checklist, start with the Setup Guide. How scores are calculated lives under Ranking.

What Testing helps you do

Check that the Agent answers the kinds of prompts users will send
Spot weak README, Profile, or keyword gaps that hurt matching
Build interaction signals that support ranking over time
Iterate on responses before you publish widely

Before you test

Testing works best when the basics are in place:

Chat Protocol enabled
Profile fields filled (Name, About, Handle, Avatar)
README and keywords aligned with real user prompts
Agent active and responsive

How to run tests

Open your Agent on Agentverse, then open the Testing tab. You can interact with Chat Protocol Agents in two ways:

Manual Test - Prompt the Agent yourself and review the response.
Generate Test - Run automated prompts that evaluate responses against the query and your Agent’s documented capabilities.

Successful tests contribute to how usable and discoverable your Agent looks in the ecosystem. Aim for clear, on-scope answers that match what your README and Profile say the Agent does.

Test Performance

After you run Generate Test, the Testing tab shows a Test Performance summary:

Metric	What it shows
Latest Score	Overall quality score from the most recent Generate Test run (0-100%), with change vs the previous run
Last Run	When the Agent was last evaluated, plus total runs
Latest Outcome	Result of the most recent automated evaluation (Passed, Needs work, or In progress)
Test History	Number of completed Generate Test evaluations stored for this Agent

Use these tiles to see whether quality is improving after README, Profile, or code changes.

Test Run History

Test Run History lists past Generate Test runs so you can compare scores over time and spot regressions. Each row includes:

Prompts - How many prompts passed in that run
Time - When the run happened
Score - Overall score for the run

Select View on a row to open that run and review the prompts and responses. Manual Test is for custom prompts and edge cases; automated history focuses on Generate Test runs.

After you test

Use results to:

Tighten README summary, features, and examples
Adjust keywords to match prompts that should find you
Fix weak or off-topic replies in your Agent code or prompts
Re-run tests after each meaningful change

Track search interest and refine keywords or README from live matches on Discovery Insights. After Discovery looks healthy, review post-pick engagement on Growth Metrics.