job_id
The unique identifier of the workflow job. Required when getting logs for a single job. (number, optional)
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.
Attacks that exploit this kind of access
The rule that runs job_id safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GitHub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For job_id, this is the rule to start with:
job_id gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every job_id call is checked against it from then on.
Questions about job_id
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.
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.
job_id is a Other tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
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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