Stop all running Docker services for a LaunchFrame project.
AI agents invoke cli_docker_down to trigger actions in LaunchFrame MCP. 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.
This tool stops all running Docker containers/services for a project, which is an external operational action with significant impact. While not permanently destructive (containers can be restarted), stopping all services causes immediate downtime and disrupts running workloads.
From the tool's definition Stop all running Docker services for a LaunchFrame project
Attacks that exploit this kind of access
Stop all running Docker services for a LaunchFrame project. It is categorised as a Execute tool in the LaunchFrame MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the LaunchFrame MCP server in PolicyLayer and add a rule for cli_docker_down: 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 LaunchFrame MCP. Nothing to install.
cli_docker_down 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 cli_docker_down 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 cli_docker_down. 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.
cli_docker_down is provided by the LaunchFrame MCP server (launchframe-dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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