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scale_virtual_machine

Scale virtual machine (change service offering)

How to control scale_virtual_machine ↓

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.

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Why scale_virtual_machine needs a policy

Scaling a VM (changing its service offering) executes infrastructure changes on cloud resources—resizing CPU, memory, or other compute parameters. While not immediately destructive or financial, it triggers real-world cloud operations whose effects depend on the target VM and new offering specified.

From the tool's definition The tool 'scale_virtual_machine' changes service offering of a virtual machine, which modifies infrastructure configuration and triggers external cloud operations.

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

How to control scale_virtual_machine

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 scale_virtual_machine:

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

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.

  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.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about scale_virtual_machine

What does the scale_virtual_machine tool do? +

Scale virtual machine (change service offering). 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 (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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