power_on_alibaba_instance · Cloud Manage MCP Server MCP

WHAT IT DOES

What power_on_alibaba_instance does on Cloud Manage MCP Server

AI agents invoke power_on_alibaba_instance to trigger actions in Cloud Manage 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 power_on_alibaba_instance needs a policy

Powering on a cloud instance is an external operation that starts a virtual machine, consuming cloud resources and potentially incurring costs. It is reversible (can be powered off again), so it doesn't qualify as Destructive or Financial, but it does trigger a real external operation on cloud infrastructure, making it Execute.

From the tool's definition power_on_alibaba_instance — '启动阿里云ECS实例' means 'Start Alibaba Cloud ECS instance'; triggers an external cloud infrastructure operation (powering on a VM)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

power_on_alibaba_instance Rate-limited

power_on_alibaba_instance 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": {
    "power_on_alibaba_instance": {
      "limits": [
        {
          "counter": "power_on_alibaba_instance_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 Cloud Manage MCP Server, so you can run agents against it safely.

FAQ

Questions about power_on_alibaba_instance

What does the power_on_alibaba_instance tool do? +

启动阿里云ECS实例（需要三次确认）. It is categorised as a Execute tool in the Cloud Manage 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 power_on_alibaba_instance? +

Register the Cloud Manage MCP Server MCP server in PolicyLayer and add a rule for power_on_alibaba_instance: 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 Cloud Manage MCP Server. Nothing to install.

What risk level is power_on_alibaba_instance? +

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

Can I rate-limit power_on_alibaba_instance? +

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

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

power_on_alibaba_instance is provided by the Cloud Manage MCP Server MCP server (rainhan99/cloud_manage_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.