sub_issue_id
The ID of the sub-issue to add. ID is not the same as issue number (number, required)
This record as markdown: /tools/io-github-aifity-omnigit-mcp/sub-issue-id.md
What sub_issue_id does on GitHub
AI agents call sub_issue_id as a supporting operation in GitHub workflows.
Why sub_issue_id is rated Low
The provided text describes a parameter (sub_issue_id) rather than a complete tool with its own action. There is insufficient information to determine what the tool itself does. Lowering confidence significantly; classifying as Other due to lack of actionable tool description.
From the tool's definition The description only states 'The ID of the sub-issue to add. ID is not the same as issue number (number, required)' — this appears to be a parameter descriptor, not a standalone tool description.
Attacks that exploit this kind of access
The rule that runs sub_issue_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 sub_issue_id, this is the rule to start with:
sub_issue_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 sub_issue_id call is checked against it from then on.
Questions about sub_issue_id
The ID of the sub-issue to add. ID is not the same as issue number (number, required). 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 sub_issue_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.
sub_issue_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 sub_issue_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 sub_issue_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.
sub_issue_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.
More on GitHub, and thousands of servers like it.
This server
Across the catalogue