comment_id
Review comment ID to update or delete. Use the CommentID field from get_review_comments. (number, required)
This record as markdown: /tools/io-github-aifity-omnigit-mcp/comment-id.md
What comment_id does on GitHub
AI agents call comment_id as a supporting operation in GitHub workflows.
Why comment_id is rated Low
This appears to be a parameter descriptor rather than a standalone tool — it describes an input field (a comment ID) used by other tools that update or delete comments. It does not perform any action on its own. The description is uninformative about any direct operation this 'tool' executes. Classifying as Other with low confidence since this seems misidentified as a tool rather than a parameter.
From the tool's definition Tool description: 'Review comment ID to update or delete. Use the CommentID field from get_review_comments. (number, required)'
Attacks that exploit this kind of access
The rule that runs comment_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 comment_id, this is the rule to start with:
comment_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 comment_id call is checked against it from then on.
Questions about comment_id
Review comment ID to update or delete. Use the CommentID field from get_review_comments. (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 comment_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.
comment_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 comment_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 comment_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.
comment_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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