Low Risk

list_virtual_machine_metrics

List virtual machine performance metrics

How to control list_virtual_machine_metrics ↓

What list_virtual_machine_metrics does on CloudStack MCP Server

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

Low Risk

Why list_virtual_machine_metrics needs a policy

This tool retrieves performance metrics data from existing virtual machines without modifying, deleting, or executing operations. While a CloudStack environment is sensitive, merely reading performance metrics poses minimal risk. An AI agent misusing this tool could at worst gather information about resource usage, which is a low-severity read-only concern.

From the tool's definition Tool name 'list_virtual_machine_metrics' and description 'List virtual machine performance metrics' indicate a retrieval/query operation with no side effects. The verb 'list' is a classic Read operation.

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

How to control list_virtual_machine_metrics

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

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

list_virtual_machine_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 CloudStack 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.
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Related tools and policies

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Questions about list_virtual_machine_metrics

What does the list_virtual_machine_metrics tool do? +

List virtual machine performance metrics. It is categorised as a Read tool in the CloudStack MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_virtual_machine_metrics? +

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

What risk level is list_virtual_machine_metrics? +

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

Can I rate-limit list_virtual_machine_metrics? +

Yes. Add a rate_limit block to the list_virtual_machine_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 list_virtual_machine_metrics completely? +

Set action: deny in the PolicyLayer policy for list_virtual_machine_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 list_virtual_machine_metrics? +

list_virtual_machine_metrics is provided by the CloudStack MCP Server MCP server (phantosmax/cloudstack-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every CloudStack MCP Server tool call.

Start from CloudStack 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.

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

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