github_analyze_workflow_failure

Read failed-job logs, classify the error type, suggest a fix.

SERVERGithub SOURCEdkeeno/github-mcp-server
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/dkeeno-github-mcp-server/github-analyze-workflow-failure.md

What github_analyze_workflow_failure does on Github

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

Why github_analyze_workflow_failure is rated Low

The tool retrieves and analyzes workflow failure logs and provides suggestions. It has no side effects—it does not execute code, modify repositories, delete data, or trigger operations. Classification as Read is appropriate for a diagnostic/analytical tool that only accesses existing log data.

From the tool's definition Tool explicitly performs 'read' actions: 'Read failed-job logs, classify the error type, suggest a fix'. These are read-only operations that retrieve and analyze existing data without modifying, executing, or deleting anything.

Questions about github_analyze_workflow_failure

What does the github_analyze_workflow_failure tool do? +

Read failed-job logs, classify the error type, suggest a fix. It is categorised as a Read tool in the Github MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on github_analyze_workflow_failure? +

Register the Github MCP server in PolicyLayer and add a rule for github_analyze_workflow_failure: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Github. Nothing to install.

What risk level is github_analyze_workflow_failure? +

github_analyze_workflow_failure is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit github_analyze_workflow_failure? +

Yes. Add a rate_limit block to the github_analyze_workflow_failure rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block github_analyze_workflow_failure completely? +

Set action: deny in the PolicyLayer policy for github_analyze_workflow_failure. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides github_analyze_workflow_failure? +

github_analyze_workflow_failure is provided by the Github MCP server (dkeeno/github-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Github, and thousands of servers like it.

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