Return the high-level state of a Docker sandbox (exists, running, or stopped).
AI agents call sandbox_status to retrieve information from MedSci Agent without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only query of sandbox state. It queries the Docker daemon to retrieve status information (exists/running/stopped), which has no side effects, no code execution, and no data modification. The verb 'return' and absence of any action words (run, execute, create, delete, modify) confirm this is a passive retrieval operation.
From the tool's definition Tool name 'sandbox_status' and description 'Return the high-level state of a Docker sandbox (exists, running, or stopped)' indicate a query operation that retrieves status information without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access sandbox_status 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_status:
{
"version": "1",
"default": "deny",
"tools": {
"sandbox_status": {}
}
} sandbox_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Return the high-level state of a Docker sandbox (exists, running, or stopped). It is categorised as a Read tool in the MedSci Agent MCP Server, which means it retrieves data without modifying state.
Register the MedSci Agent MCP server in PolicyLayer and add a rule for sandbox_status: 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_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the sandbox_status 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_status. 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_status 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.