Critical Risk →

exit_container

closes a container to cleanup environment when finished

How to control exit_container ↓

What exit_container does on Sandbox MCP Server

AI agents call exit_container to permanently remove resources in Sandbox MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Critical Risk

Why exit_container needs a policy

Exiting and cleaning up a container terminates the running environment and disposes of its state. This action cannot be undone; any unsaved data or state within the container is lost. The blast radius is high because an AI agent misusing this tool could destroy an active development environment and all in-memory work, though persistent volumes may survive depending on implementation.

From the tool's definition 'closes a container to cleanup environment when finished' — closing/cleaning up a container is an irreversible teardown of the running environment

Documented attack patterns abuse exactly the kind of access exit_container gives an agent:

How to control exit_container

PolicyLayer is an MCP gateway — it sits between your AI agents and Sandbox MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for exit_container:

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "exit_container"
  ]
}

exit_container disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

  1. Create a free account and register Sandbox MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RESTRICT THIS TOOL →

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Related tools and policies

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Questions about exit_container

What does the exit_container tool do? +

closes a container to cleanup environment when finished. It is categorised as a Destructive tool in the Sandbox MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on exit_container? +

Register the Sandbox MCP Server MCP server in PolicyLayer and add a rule for exit_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 Sandbox MCP Server. Nothing to install.

What risk level is exit_container? +

exit_container is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit exit_container? +

Yes. Add a rate_limit block to the exit_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.

How do I block exit_container completely? +

Set action: deny in the PolicyLayer policy for exit_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.

What MCP server provides exit_container? +

exit_container is provided by the Sandbox MCP Server MCP server (tsuchijo/sandbox-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Sandbox MCP Server tool call.

Start from Sandbox MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

6 Sandbox MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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