🔍 Agentic Workflow Audit Report - October 19, 2025

[dsyme]

🔍 Agentic Workflow Audit Report - October 19, 2025

Executive Summary

Over the past 24 hours, I analyzed 14 workflow runs across 8 active workflows. While the overall success rate is strong at 92.86%, several critical issues require attention, particularly around MCP server failures and workflow execution problems.

Audit Statistics

• Period: Last 24 hours (Oct 19, 2025)
• Runs Analyzed: 14
• Workflows Active: 8
• Success Rate: 92.86% (13 successful, 1 failed)
• Total Duration: 56.0 minutes
• Total Token Usage: 6,308,600 tokens
• Total Cost: $4.47
• Average Turns: 19.86 per run
• Issues Found: 3 critical, 2 missing tools

🚨 Critical Issues

1. Python Code Interpreter MCP Server Failure (HIGH PRIORITY)

Status: Recurring failure blocking Python execution

Error: cannot import name 'MCP' from 'fastmcp'

Affected Workflows:

• Dev workflow (runs #18635648039, #18635338169)

Impact: Agents cannot execute Python code for data analysis tasks, including:

• File size analysis and histogram generation
• Mathematical computations
• Data processing tasks

Root Cause: The python-code-interpreter MCP server is failing to start due to an incompatibility with the fastmcp library. The server attempts to import MCP from fastmcp but the import fails.

Recommendation:

• Update the fastmcp dependency to the correct version
• Or modify the python-code-interpreter MCP server to use the correct import statement
• Consider adding health checks for MCP servers before workflow execution

2. Issue Classifier Workflow Complete Failure (MEDIUM PRIORITY)

Status: Workflow failed with no agent logs

Run: #18635216785

Impact: New issues are not being automatically classified with labels

Details: The agent job failed without producing any agent logs, suggesting the failure occurred very early in the agent initialization or before the agent could start.

Recommendation:

• Review the agent job logs for run #18635216785
• Check if this is related to the issue that triggered the workflow
• Verify the workflow configuration and permissions

3. Tidy Workflow PR Creation Failure (MEDIUM PRIORITY)

Status: Agent succeeded but PR creation failed

Run: #18636053398

Impact: Code formatting changes are being detected and processed but not submitted as pull requests

Details:

• Agent job completed successfully (4.3m duration)
• Detection job succeeded (32s)
• create_pull_request job failed (39s)
• Changes were made (1.1 KB patch available)

Recommendation:

• Review the create_pull_request job logs
• Check GitHub permissions and token scopes
• Verify branch protection rules aren't blocking PR creation

🔧 Missing Tools

1. Python Code Execution Tools

Requested Tool: run_python_query (python-code-interpreter MCP)

Frequency: 2 occurrences in Dev workflow

Reason: Tasks requiring Python execution are blocked by both:

• Non-functional python-code-interpreter MCP server
• Bash permission restrictions preventing Python script execution

Alternative Solutions:

• Fix the python-code-interpreter MCP server (primary recommendation)
• Allow Python execution through bash with appropriate safeguards
• Provide a Jupyter kernel MCP server
• Relax bash permissions for specific file operations (find, ls -lR)

📊 Performance Metrics

Highest Cost Workflows (Last 24h)

Workflow	Run ID	Cost	Tokens	Duration	Turns
Copilot Agent PR Analysis	18635640300	$1.25	1.84M	5.1m	67
CLI Version Checker	18635159273	$0.98	1.53M	6.4m	68
Changeset Generator (avg)	Multiple	$0.35	411K	2.5m	23

Workflow Success Rates

Workflow	Runs	Success	Failure	Success Rate
Changeset Generator	3	3	0	100%
Copilot Agent PR Analysis	2	2	0	100%
Dev	2	2	0	100%
Tidy	4	3	1	75%
CLI Version Checker	1	1	0	100%
Issue Classifier	1	0	1	0%
Audit Workflow	1	In Progress	-	-

🔍 Error Patterns Detected

Top Error Patterns (Last 24h)

1. Permission Denied (35 occurrences)

   • Bash tool restrictions blocking file operations
   • Affects: Dev workflow file analysis tasks

2. MCP Connection Failed (2 occurrences)

   • python-code-interpreter MCP server startup failures
   • Affects: Dev workflow Python execution

3. Connection Failed (8 occurrences)

   • Various connection errors in workflow logs
   • Pattern matching in error detection code

📋 Recommendations

Immediate Actions (High Priority)

1. Fix python-code-interpreter MCP Server

   • Investigate fastmcp import error
   • Update dependencies or fix import statement
   • Add MCP server health checks to workflow initialization
   • Impact: Restores Python execution capability

2. Debug Issue Classifier Failure

   • Review agent job logs for run #18635216785
   • Check workflow triggers and permissions
   • Impact: Restores automatic issue labeling

Short-term Actions (Medium Priority)

3. Fix Tidy Workflow PR Creation

   • Review create_pull_request job failure logs
   • Verify GitHub token permissions
   • Check branch protection rules
   • Impact: Ensures code formatting changes are submitted

4. Consider Bash Permission Adjustments

   • Allow find and ls commands for file analysis
   • Or provide alternative via MCP tool
   • Impact: Enables file size analysis without full Python MCP

Monitoring Recommendations

5. Add MCP Server Health Monitoring

   • Check MCP server connectivity before workflow execution
   • Log MCP server startup errors prominently
   • Consider automated alerts for MCP failures

6. Track Workflow Failure Patterns

   • Monitor Tidy workflow PR creation success rate
   • Alert on repeated Issue Classifier failures
   • Track MCP server availability metrics

📈 Trend Analysis

Compared to Previous Audits

This is the first automated audit, so no historical comparison is available. Future audits will track:

• Success rate trends
• Cost trends
• Error pattern changes
• MCP server reliability
• Missing tool request patterns

🎯 Next Steps

1. Immediate: Address python-code-interpreter MCP server failure
2. This Week: Investigate and fix Issue Classifier and Tidy workflow failures
3. Ongoing: Monitor workflow health and update this audit daily

📁 Audit Data

Full audit details saved to cache memory:

• /tmp/gh-aw/cache-memory/audits/2025-10-19.json
• /tmp/gh-aw/cache-memory/patterns/mcp-failures.json

---

Audit completed by: Agentic Workflow Audit Agent
Generated: 2025-10-19 21:44 UTC
Workflow Run: #18636519072

AI generated by Agentic Workflow Audit Agent

[github-actions[bot]]

This discussion was automatically closed because it was created by an agentic workflow more than 1 month ago.