Get the review comments on a pull request
AI agents call get-pull-request-comments to retrieve information from GitHub Enterprise MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves existing pull request review comments without modifying, deleting, or executing any operations. It is a straightforward read-only query against GitHub's API, presenting minimal risk if misused by an AI agent—at worst, it could enumerate comments across pull requests, but causes no data loss, code execution, or financial impact.
From the tool's definition Tool name 'get-pull-request-comments' and description 'Get the review comments on a pull request' indicate a retrieval operation with no mutation or side effects.
Attacks that exploit this kind of access
Get the review comments on a pull request. It is categorised as a Read tool in the GitHub Enterprise MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GitHub Enterprise MCP Server MCP server in PolicyLayer and add a rule for get-pull-request-comments: 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 Enterprise MCP Server. Nothing to install.
get-pull-request-comments is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get-pull-request-comments 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 get-pull-request-comments. 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.
get-pull-request-comments is provided by the GitHub Enterprise MCP Server MCP server (lessinthought/github-enterprice-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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