save_investigation_result
Store AI investigation results for error incidents to create an audit trail and enable learning from past fixes.
Instructions
Save AI investigation results for an error incident.
Used to store investigation results for audit trail and learning from past fixes.
Call this after investigating an error and proposing/deploying a fix.
USAGE:
- Call after completing investigation and deploying fix
- Stores root cause analysis, research sources, proposed changes
- Creates audit trail for learning from past investigations
REQUEST FIELDS:
- incident_id: UUID of the error incident (from get_acknowledged_errors)
- root_cause_analysis: Your analysis of what caused the error
- similar_incidents_analyzed: Array of similar incident IDs found
- research_sources: Array of URLs used (search_web_ai, Context7 docs)
- fix_type: Type of fix - 'code_change', 'config_update', 'deployment', 'migration', 'documentation'
- proposed_changes: Object with file paths and changes made
- confidence_score: Your confidence in the fix (0.0-1.0)
- risk_level: Risk assessment - 'low', 'medium', 'high'
- test_plan: How you tested the fix
- rollback_plan: How to roll back if needed
- deployment_commit_hash: Git commit hash of the fix
- deployment_results: Object with deployment success/failure details
EXAMPLE:
save_investigation_result({
incident_id: "550e8400-e29b-41d4-a716-446655440000",
root_cause_analysis: "Timeout set to 5s, too short for slow networks",
fix_type: "code_change",
confidence_score: 0.85,
risk_level: "low",
deployment_commit_hash: "abc123def456"
})
RETURNS:
- investigation_id: UUID of saved investigation
- incident_id: UUID of the error incident
- investigation_status: 'in_progress' or 'completed'
- deployment_status: 'not_started', 'in_progress', 'completed'
- success: true if saved successfullyInput Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| incident_id | Yes | UUID of the error incident from get_acknowledged_errors | |
| root_cause_analysis | No | Your analysis of what caused the error | |
| similar_incidents_analyzed | No | Array of similar incident IDs found via recall_memories | |
| research_sources | No | Array of research sources used (URLs from search_web_ai, Context7) | |
| fix_type | No | Type of fix applied | |
| proposed_changes | No | Object with file paths and changes made | |
| confidence_score | No | AI confidence in proposed fix (0.0-1.0) | |
| risk_level | No | Risk assessment of the fix | |
| test_plan | No | How the fix was tested | |
| rollback_plan | No | How to roll back if fix fails | |
| deployment_commit_hash | No | Git commit hash of the deployed fix | |
| deployment_results | No | Deployment success/failure details |