render.deployment_cancel · MCP Fullstack MCP: Risk & Policy

WHAT IT DOES

What render.deployment_cancel does on MCP Fullstack

AI agents call render.deployment_cancel to permanently remove resources in MCP Fullstack — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

WHY IT NEEDS A POLICY

Why render.deployment_cancel needs a policy

Cancelling a deployment stops an in-progress release permanently; the deployment cannot be resumed from where it left off, making this effectively irreversible. This could cause service disruptions or require a full redeployment, qualifying it as Destructive with high severity due to potential impact on production systems.

From the tool's definition 'Cancel a deployment' — cancelling a deployment is an irreversible action that terminates an active deployment process and cannot be undone

Attacks that exploit this kind of access

Questions about render.deployment_cancel

What does the render.deployment_cancel tool do? +

Cancel a deployment. It is categorised as a Destructive tool in the MCP Fullstack MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on render.deployment_cancel? +

Register the MCP Fullstack MCP server in PolicyLayer and add a rule for render.deployment_cancel: 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 MCP Fullstack. Nothing to install.

What risk level is render.deployment_cancel? +

render.deployment_cancel is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit render.deployment_cancel? +

Yes. Add a rate_limit block to the render.deployment_cancel 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.

How do I block render.deployment_cancel completely? +

Set action: deny in the PolicyLayer policy for render.deployment_cancel. 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.

What MCP server provides render.deployment_cancel? +

render.deployment_cancel is provided by the MCP Fullstack MCP server (jacobfv/mcp-fullstack). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.