Stop or remove a Docker sandbox. By default only stops; set remove to true to also delete.
AI agents call sandbox_teardown to permanently remove resources in MedSci Agent — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
While stopping a sandbox is reversible (Execute category), the tool's ability to remove/delete Docker containers crosses into Destructive territory because deletion cannot be undone. An AI agent with misuse could permanently destroy computational environments, data volumes, and research results stored within those sandboxes.
From the tool's definition Tool description explicitly states it can "remove a Docker sandbox" and "delete" when remove parameter is set to true. The term 'delete' combined with the capability to permanently remove containers indicates irreversible data loss potential.
Documented attack patterns abuse exactly the kind of access sandbox_teardown gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MedSci Agent, and nothing reaches the server without passing your rules. This is the rule we recommend for sandbox_teardown:
{
"version": "1",
"default": "deny",
"hide": [
"sandbox_teardown"
]
} sandbox_teardown disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Stop or remove a Docker sandbox. By default only stops; set remove to true to also delete. It is categorised as a Destructive tool in the MedSci Agent MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the MedSci Agent MCP server in PolicyLayer and add a rule for sandbox_teardown: 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 MedSci Agent. Nothing to install.
sandbox_teardown 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 sandbox_teardown 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 sandbox_teardown. 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.
sandbox_teardown is provided by the MedSci Agent MCP server (omar-a-hassan/medsci-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MedSci Agent, 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.
28 MedSci Agent tools catalogued and risk-classified — across an index of 43,000+ MCP servers.