cancel_deployment

Cancel a running deployment

Server Coolify MCP Tools jplansink/coolify-mcp-tools
Category Execute
Risk class High
Parameters 00 required

What cancel_deployment does on Coolify MCP Tools

AI agents invoke cancel_deployment to trigger actions in Coolify MCP Tools. 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 cancel_deployment needs a policy

Cancelling a running deployment is an operational action that interrupts an active process. It is not purely destructive (no data is deleted), but it executes a control action against a live deployment pipeline. Misuse could halt critical application rollouts, leaving services in an inconsistent or partially deployed state, which gives it a high severity.

From the tool's definition Cancel a running deployment

Questions about cancel_deployment

What does the cancel_deployment tool do? +

Cancel a running deployment. It is categorised as a Execute tool in the Coolify MCP Tools 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 Tools 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 Tools. 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 Tools MCP server (jplansink/coolify-mcp-tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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