This record as markdown: /tools/docker/remove-container.md
What remove_container does on Docker
AI agents call remove_container 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_container is rated Critical
Removing a container is an irreversible operation that destroys the container and any data stored within it. Even if volumes are separately managed, the container itself cannot be recovered once removed. This fits the Destructive category as it performs an action that cannot be undone.
From the tool's definition remove_container - Remove a Docker container. This operation irreversibly deletes a container and its associated filesystem state.
Attacks that exploit this kind of access
The rule that runs remove_container 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_container, this is the rule to start with:
remove_container 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_container call is checked against it from then on.
Questions about remove_container
Remove a Docker container. 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_container: 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_container 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_container 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_container. 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_container is provided by the Docker MCP server (@ckreiling/mcp-server-docker). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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