This record as markdown: /tools/coolify/restart-service.md
What restart_service does on Coolify
AI agents invoke restart_service to trigger actions in Coolify. 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 restart_service is rated High
The tool triggers a restart action on a service, which is an operational command with immediate effects on system state. This falls under Execute rather than Write because it runs/triggers an external operation whose effects depend on which service is targeted. While not destructive or financial, restarting a service can cause downtime and service interruption, warranting high severity.
From the tool's definition Tool name 'restart_service' with description 'Restart a service' indicates execution of a service restart operation, which is an external operation with real-world effects on infrastructure.
Attacks that exploit this kind of access
The rule that runs restart_service safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Coolify, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For restart_service, this is the rule to start with:
restart_service 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Coolify, apply this rule, and every restart_service call is checked against it from then on.
Questions about restart_service
Restart a service. It is categorised as a Execute tool in the Coolify MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Coolify MCP server in PolicyLayer and add a rule for restart_service: 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. Nothing to install.
restart_service is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the restart_service 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 restart_service. 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.
restart_service is provided by the Coolify MCP server (coolify-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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