Low Risk

sandbox_metrics

Get live resource usage metrics (CPU, memory, disk, network) for a running sandbox.

How to control sandbox_metrics ↓

What sandbox_metrics does on Microsandbox

AI agents call sandbox_metrics to retrieve information from Microsandbox without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why sandbox_metrics needs a policy

This tool queries and returns resource utilization data from an existing sandbox. It performs no state changes, does not execute code, and does not access or modify application data. The blast radius of misuse is minimal—an agent could only observe resource usage patterns, which poses no direct risk to sandboxed systems or external resources.

From the tool's definition Tool description states 'Get live resource usage metrics (CPU, memory, disk, network)' — a retrieval operation with no modification or execution of code. Verb 'Get' and nature of metrics (monitoring data) indicate read-only access.

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

How to control sandbox_metrics

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "sandbox_metrics": {}
  }
}

sandbox_metrics is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Microsandbox — 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.
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Related tools and policies

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Questions about sandbox_metrics

What does the sandbox_metrics tool do? +

Get live resource usage metrics (CPU, memory, disk, network) for a running sandbox. It is categorised as a Read tool in the Microsandbox MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on sandbox_metrics? +

Register the Microsandbox MCP server in PolicyLayer and add a rule for sandbox_metrics: 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 Microsandbox. Nothing to install.

What risk level is sandbox_metrics? +

sandbox_metrics is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit sandbox_metrics? +

Yes. Add a rate_limit block to the sandbox_metrics 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 sandbox_metrics completely? +

Set action: deny in the PolicyLayer policy for sandbox_metrics. 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 sandbox_metrics? +

sandbox_metrics is provided by the Microsandbox MCP server (superradcompany/microsandbox-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Microsandbox tool call.

Start from Microsandbox, 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.

19 Microsandbox tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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