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Description
Objective
After implementing schema and error message improvements, monitor safe output health metrics for 7 days to verify that add_comment failure rate drops below 1%.
Context
This is the verification step that confirms our fixes are effective. We need to:
- Wait for changes to be deployed
- Monitor workflow runs using the affected tools
- Verify error rates have improved
- Document results
Approach
- Wait for parent issue fixes to be merged and deployed
- Monitor workflow runs over 7 days, focusing on:
- Issue Monster workflow (primary affected workflow)
- Any workflows using
safeoutputs-add_commentMCP tool
- Collect metrics on success/failure rates
- Compare with baseline (93.33% success → target 99%+)
Monitoring Method
Use existing tools:
gh aw logs # Download workflow logs
gh aw audit (run_id) # Audit specific runsOr check the Safe Output Health Monitor discussion for automated reports.
Success Criteria
-
add_commentsuccess rate is ≥99% over 7-day monitoring period - No new MCP validation errors for
item_numberparameter - Overall safe output success rate improves to ≥99%
- Results documented in this issue
Verification Checklist
After 7 days:
- Collect success/failure data from workflow runs
- Calculate new success rate for
add_commenttool - Verify no regression in other safe output tools
- Document findings and close issue if successful
- If failure rate still high, investigate remaining issues
Dependencies
This task depends on completion of:
- Sub-issue rejig docs #1: Enhanced MCP schema documentation
- Sub-issue Add workflow: githubnext/agentics/weekly-research #2: Enhanced error messages
- Sub-issue Add workflow: githubnext/agentics/weekly-research #3: Validation tests
- Deployment of changes to production
Related to [plan] Fix safe output MCP tool parameter validation errors #7950
AI generated by Plan Command for discussion #7934