scale_virtual_machine · CloudStack MCP Server MCP

WHAT IT DOES

What scale_virtual_machine does on CloudStack MCP Server

AI agents invoke scale_virtual_machine to trigger actions in CloudStack MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why scale_virtual_machine needs a policy

Scaling VM CPU/memory is an Execute action because it triggers infrastructure operations whose effects depend on the scaling parameters provided. While not permanently destructive (reversible via scaling down), it directly modifies running systems and can cause service disruptions, performance impacts, or cascading failures.

From the tool's definition Tool performs 'scale virtual machine CPU/memory' - this is a real-time operational change to running infrastructure that modifies compute resources and triggers external effects on the virtual machine.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

scale_virtual_machine Rate-limited

scale_virtual_machine stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "scale_virtual_machine": {
      "limits": [
        {
          "counter": "scale_virtual_machine_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches CloudStack MCP Server, so you can run agents against it safely.

FAQ

Questions about scale_virtual_machine

What does the scale_virtual_machine tool do? +

Scale virtual machine CPU/memory. It is categorised as a Execute tool in the CloudStack MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on scale_virtual_machine? +

Register the CloudStack MCP Server MCP server in PolicyLayer and add a rule for scale_virtual_machine: 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 scale_virtual_machine? +

scale_virtual_machine is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit scale_virtual_machine? +

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

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

scale_virtual_machine is provided by the CloudStack MCP Server MCP server (mozg31337/cloudstack-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.