This record as markdown: /tools/coolify/stop-database.md
What stop_database does on Coolify
AI agents invoke stop_database 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 stop_database is rated High
Stopping a database is an execute-class action as it triggers an external operation (database shutdown) whose effect depends on which database is targeted. While not destructive (data is preserved and the action is reversible by restarting), it interrupts service availability and can cause significant operational disruption.
From the tool's definition Tool name 'stop_database' directly indicates stopping/terminating a database service. This is an operational action that interrupts service availability.
Attacks that exploit this kind of access
The rule that runs stop_database 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 stop_database, this is the rule to start with:
stop_database 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 stop_database call is checked against it from then on.
Questions about stop_database
Stop a database. 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 stop_database: 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.
stop_database 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 stop_database 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 stop_database. 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.
stop_database 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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