confirm_dangerous_action · CloudStack MCP Server MCP

WHAT IT DOES

What confirm_dangerous_action does on CloudStack MCP Server

AI agents invoke confirm_dangerous_action 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 confirm_dangerous_action needs a policy

This tool is a confirmation gate for dangerous actions in a CloudStack environment managing 735+ API methods. Confirming a dangerous action causes the underlying destructive, financial, or high-impact operation to execute. The blast radius is critical because it could unleash any category of irreversible infrastructure change — VM deletion, network teardown, storage purge, etc.

From the tool's definition 'Confirm a dangerous action that requires explicit user approval' - this tool explicitly gates destructive/dangerous operations and its execution triggers those operations to proceed

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

confirm_dangerous_action Rate-limited

confirm_dangerous_action 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": {
    "confirm_dangerous_action": {
      "limits": [
        {
          "counter": "confirm_dangerous_action_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 confirm_dangerous_action

What does the confirm_dangerous_action tool do? +

Confirm a dangerous action that requires explicit user approval. 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 confirm_dangerous_action? +

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

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

Can I rate-limit confirm_dangerous_action? +

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

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

confirm_dangerous_action 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.