job_id

The unique identifier of the workflow job. Required when getting logs for a single job. (number, optional)

SERVERGitHub SOURCEoci:ghcr.io/aifity/omnigit-mcp:0.5.0
Low RISK CLASS
Category Other
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-aifity-omnigit-mcp/job-id.md

What job_id does on GitHub

AI agents call job_id as a supporting operation in GitHub workflows.

Why job_id is rated Low

This appears to be a parameter descriptor rather than an actual executable tool. It describes a job_id input used when retrieving logs, which would be a Read operation. However, since the description is essentially a parameter definition and not a tool action, classification is uncertain.

From the tool's definition Tool description says 'The unique identifier of the workflow job. Required when getting logs for a single job.' — this appears to be a parameter/input field, not a standalone tool with its own action.

Questions about job_id

What does the job_id tool do? +

The unique identifier of the workflow job. Required when getting logs for a single job. (number, optional). It is categorised as a Other tool in the GitHub MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on job_id? +

Register the GitHub MCP server in PolicyLayer and add a rule for job_id: 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 job_id? +

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

Can I rate-limit job_id? +

Yes. Add a rate_limit block to the job_id 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 job_id completely? +

Set action: deny in the PolicyLayer policy for job_id. 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 job_id? +

job_id is provided by the GitHub MCP server (oci:ghcr.io/aifity/omnigit-mcp:0.5.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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