Cancel a deployment which is currently building
AI agents call cancel_deployment to permanently remove resources in Vercel MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling a deployment mid-build destroys the ongoing build process irreversibly. While it doesn't delete stored data, the interrupted deployment cannot be resumed and the build state is permanently terminated, making this effectively a destructive action with high blast radius in a CI/CD context.
From the tool's definition 'Cancel a deployment which is currently building' — cancelling an in-progress deployment is an irreversible action that terminates the build process and cannot be undone.
Documented attack patterns abuse exactly the kind of access cancel_deployment gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Vercel MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for cancel_deployment:
{
"version": "1",
"default": "deny",
"hide": [
"cancel_deployment"
]
}cancel_deployment disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Cancel a deployment which is currently building. It is categorised as a Destructive tool in the Vercel MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Vercel MCP Server MCP server in PolicyLayer and add a rule for cancel_deployment: 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 MCP Server. Nothing to install.
cancel_deployment 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_deployment 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_deployment. 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_deployment is provided by the Vercel MCP Server MCP server (quegenx/vercel-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 154 Vercel MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
154 Vercel MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.