Cancel a pending review request. Only the requester can cancel.
AI agents call cancel_review to permanently remove resources in Rockhopper MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling a review request is an irreversible action that removes the pending review from the workflow. Unlike simply updating or modifying a review, cancellation terminates the review process and cannot be undone without creating a new request, making it Destructive in nature.
From the tool's definition Cancel a pending review request. Only the requester can cancel.
Attacks that exploit this kind of access
Cancel a pending review request. Only the requester can cancel. It is categorised as a Destructive tool in the Rockhopper MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Rockhopper MCP Server MCP server in PolicyLayer and add a rule for cancel_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 Rockhopper MCP Server. Nothing to install.
cancel_review is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the cancel_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 cancel_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.
cancel_review is provided by the Rockhopper MCP Server MCP server (rockhopper-co/mcp-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.
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