workflow_id
The workflow ID (numeric) or workflow file name (e.g., main.yml, ci.yaml). Required for 'run_workflow' method. (string, optional)
This record as markdown: /tools/io-github-aifity-omnigit-mcp/workflow-id.md
What workflow_id does on GitHub
AI agents call workflow_id as a supporting operation in GitHub workflows.
Why workflow_id is rated Low
This appears to be a parameter descriptor rather than an executable tool. It describes an input field (workflow ID or filename) used by another tool ('run_workflow'). It has no independent action or side effect. Confidence is low because the description is uninformative as a standalone tool.
From the tool's definition The description says 'The workflow ID (numeric) or workflow file name (e.g., main.yml, ci.yaml). Required for run_workflow method.' This is a parameter/identifier field, not an actionable tool itself.
Attacks that exploit this kind of access
The rule that runs workflow_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 workflow_id, this is the rule to start with:
workflow_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 workflow_id call is checked against it from then on.
Questions about workflow_id
The workflow ID (numeric) or workflow file name (e.g., main.yml, ci.yaml). Required for 'run_workflow' method. (string, 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 workflow_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.
workflow_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 workflow_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 workflow_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.
workflow_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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