create_pr_review
AI agents use create_pr_review to create or update resources in GitHub MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GitHub MCP Server environment.
Creating a pull request review is a reversible Write operation—it adds a review comment/approval to a PR, which can be edited or deleted. While not as severe as Destructive (deletion is irreversible), it modifies repository state. Severity is medium because PR reviews affect collaboration workflows and visibility, but the impact is bounded to review metadata and can be undone.
From the tool's definition Tool name 'create_pr_review' indicates creation of a pull request review. Sibling tools like 'create_issue', 'create_pull_request', and 'create_or_update_file' are Write operations that modify repository state reversibly.
Attacks that exploit this kind of access
create_pr_review. It is categorised as a Write tool in the GitHub MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GitHub MCP Server MCP server in PolicyLayer and add a rule for create_pr_review: 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 MCP Server. Nothing to install.
create_pr_review is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_pr_review 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 create_pr_review. 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.
create_pr_review is provided by the GitHub MCP Server MCP server (software-engineer-mj/github-mcp). 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.
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