Cancel a sent contact request.
AI agents call cancel_contact_request to permanently remove resources in Thenvoi MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling a contact request is an irreversible action that removes/revokes the previously sent request. The recipient will no longer see the request, and the action cannot be undone without sending a new request. This maps to Destructive as it permanently removes a pending request.
From the tool's definition Cancel a sent contact request
Attacks that exploit this kind of access
Cancel a sent contact request. It is categorised as a Destructive tool in the Thenvoi MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Thenvoi MCP Server MCP server in PolicyLayer and add a rule for cancel_contact_request: 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 Thenvoi MCP Server. Nothing to install.
cancel_contact_request 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_contact_request 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_contact_request. 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_contact_request is provided by the Thenvoi MCP Server MCP server (thenvoi/thenvoi-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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