analyze_pipeline_failure

What analyze_pipeline_failure does on Gitlab

AI agents call analyze_pipeline_failure to retrieve information from Gitlab without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why analyze_pipeline_failure is rated Low

This tool retrieves and analyzes existing pipeline data (logs and error information) to produce a diagnostic report. It has no side effects—it does not execute commands, modify pipelines, delete data, or trigger external operations. The read-only nature of log analysis and error classification places it squarely in the Read category with low severity.

From the tool's definition The tool 'analyze_pipeline_failure' is described as analyzing a failed pipeline by fetching job logs and classifying errors to return a report. The verbs 'fetch' and 'return' indicate data retrieval and analysis without modification of any resources.

Risk signalsAdmin/system-level operation

The rule that runs analyze_pipeline_failure safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Gitlab, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For analyze_pipeline_failure, this is the rule to start with:

{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_pipeline_failure": {}
  }
}

Questions about analyze_pipeline_failure