This record as markdown: /tools/io-github-dave-london-docker/remove.md
What remove does on Docker
AI agents call remove to permanently remove resources in Docker, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why remove is rated Critical
Docker remove operations (docker rm, docker rmi) permanently delete resources and cannot be undone. This qualifies as Destructive rather than Execute because the tool's purpose is irreversible deletion, not general command execution. High severity due to potential loss of containers, images, or persistent data in a production environment.
From the tool's definition Tool name is 'remove' on a Docker server. In Docker context, 'remove' irreversibly deletes containers, images, or volumes. The description 'Runs' is incomplete/uninformative, but the name strongly indicates a destructive Docker operation.
Attacks that exploit this kind of access
The rule that runs remove safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Docker, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For remove, this is the rule to start with:
remove is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Docker, apply this rule, and every remove call is checked against it from then on.
Questions about remove
Runs. It is categorised as a Destructive tool in the Docker MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Docker MCP server in PolicyLayer and add a rule for remove: 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 Docker. Nothing to install.
remove is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the remove 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 remove. 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.
remove is provided by the Docker MCP server (@paretools/docker). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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