Cancels a deployment
AI agents call cancelDeployment to permanently remove resources in Vercel — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling a deployment is an irreversible action that terminates an active deployment process. Once cancelled, the deployment cannot be resumed; it would need to be re-triggered entirely. This constitutes an irreversible operational action with high blast radius if misused, as it could disrupt live or in-progress deployments.
From the tool's definition 'cancelDeployment' - 'Cancels a deployment'
Attacks that exploit this kind of access
Cancels a deployment. It is categorised as a Destructive tool in the Vercel MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Vercel MCP server in PolicyLayer and add a rule for cancelDeployment: 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 Vercel. Nothing to install.
cancelDeployment 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 cancelDeployment 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 cancelDeployment. 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.
cancelDeployment is provided by the Vercel MCP server (ozztec/vercel-api-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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