issue_number
The issue number (use when item_type is 'issue' for 'add_project_item' method). Provide either issue_number or pull_request_number. (number, optional)
This record as markdown: /tools/io-github-aifity-omnigit-mcp/issue-number.md
What issue_number does on GitHub
AI agents call issue_number as a supporting operation in GitHub workflows.
Why issue_number is rated Low
This appears to be a parameter/input field rather than a standalone tool. It accepts an issue number as a numeric identifier to be passed to 'add_project_item'. It does not perform any action on its own. The description is essentially a parameter specification, not a tool with side effects. Classifying as Other with low confidence due to the uninformative nature of the description as a standalone tool.
From the tool's definition The tool description says 'The issue number (use when item_type is 'issue' for 'add_project_item' method). Provide either issue_number or pull_request_number. (number, optional)'
Attacks that exploit this kind of access
The rule that runs issue_number 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 issue_number, this is the rule to start with:
issue_number 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 issue_number call is checked against it from then on.
Questions about issue_number
The issue number (use when item_type is 'issue' for 'add_project_item' method). Provide either issue_number or pull_request_number. (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 issue_number: 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.
issue_number 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 issue_number 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 issue_number. 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.
issue_number 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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