cancel_deployment · Coolify MCP Server MCP: Risk & Policy

WHAT IT DOES

What cancel_deployment does on Coolify MCP Server

AI agents invoke cancel_deployment to trigger actions in Coolify MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why cancel_deployment needs a policy

Cancelling a deployment is an irreversible operational action in that the in-progress deployment is aborted and cannot be resumed from the same point. It affects live infrastructure state (a running deployment pipeline is killed), making it Execute-level at minimum. While not strictly 'destructive' in the sense of deleting data, it can break a partially-deployed application, giving it high severity blast radius.

From the tool's definition Cancel a deployment — this triggers an external operation that halts an active deployment process, which is not a simple data read/write but an operational action with significant side effects.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

cancel_deployment Rate-limited

cancel_deployment stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "cancel_deployment": {
      "limits": [
        {
          "counter": "cancel_deployment_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Coolify MCP Server, so you can run agents against it safely.

FAQ

Questions about cancel_deployment

What does the cancel_deployment tool do? +

Cancel a deployment. When COOLIFY_REQUIRE_CONFIRM=true, requires confirm: true parameter. It is categorised as a Execute tool in the Coolify MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on cancel_deployment? +

Register the Coolify 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 Coolify MCP Server. Nothing to install.

What risk level is cancel_deployment? +

cancel_deployment is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit cancel_deployment? +

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.

How do I block cancel_deployment completely? +

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.

What MCP server provides cancel_deployment? +

cancel_deployment is provided by the Coolify MCP Server MCP server (kof70/coolify-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.