Lista todas las reviews de un pull request
AI agents call list_pull_request_reviews to retrieve information from Mcp Github without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns pull request review data without side effects. It is a read-only operation that retrieves information from GitHub, fitting the 'Read' category. The severity is low because listing reviews poses no risk to repository integrity or security—it merely exposes information that is typically visible to authorized users on GitHub.
From the tool's definition Tool name 'list_pull_request_reviews' and description 'Lista todas las reviews de un pull request' (List all reviews of a pull request) indicates data retrieval only. No modification, deletion, or execution of external operations is performed.
Attacks that exploit this kind of access
Lista todas las reviews de un pull request. It is categorised as a Read tool in the Mcp Github MCP Server, which means it retrieves data without modifying state.
Register the Mcp Github MCP server in PolicyLayer and add a rule for list_pull_request_reviews: 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 Mcp Github. Nothing to install.
list_pull_request_reviews 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 list_pull_request_reviews 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 list_pull_request_reviews. 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.
list_pull_request_reviews is provided by the Mcp Github MCP server (pblarismendi/mcp-github-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →