set_glp_virtual_machine_power

A execute tool on the API-Central MCP server.

SERVERAPI-Central SOURCEsecure-ssid/centralmcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/secure-ssid-centralmcp/set-glp-virtual-machine-power.md

WHAT IT DOES

What set_glp_virtual_machine_power does on API-Central

AI agents invoke set_glp_virtual_machine_power to trigger actions in API-Central. 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.

RISK

Why set_glp_virtual_machine_power is rated High

Controlling VM power state is an Execute-class action — it triggers real infrastructure changes (powering on/off/restarting VMs). This can have high blast radius if misused (e.g., shutting down production VMs). The description is empty, so confidence is reduced, but the name strongly implies power state changes.

From the tool's definition Tool name 'set_glp_virtual_machine_power' implies controlling power state of a virtual machine (start/stop/restart), which triggers external operations on infrastructure.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs set_glp_virtual_machine_power safely

PolicyLayer is an MCP gateway: it sits between your AI agents and API-Central, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For set_glp_virtual_machine_power, this is the rule to start with:

set_glp_virtual_machine_power Rate-limited

set_glp_virtual_machine_power 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": {
    "set_glp_virtual_machine_power": {
      "limits": [
        {
          "counter": "set_glp_virtual_machine_power_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect API-Central, apply this rule, and every set_glp_virtual_machine_power call is checked against it from then on.

FAQ

Questions about set_glp_virtual_machine_power

What does the set_glp_virtual_machine_power tool do? +

set_glp_virtual_machine_power is a execute tool on the API-Central MCP server. It is categorised as a Execute tool in the API-Central MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on set_glp_virtual_machine_power? +

Register the API-Central MCP server in PolicyLayer and add a rule for set_glp_virtual_machine_power: 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 API-Central. Nothing to install.

What risk level is set_glp_virtual_machine_power? +

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

Can I rate-limit set_glp_virtual_machine_power? +

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

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

set_glp_virtual_machine_power is provided by the API-Central MCP server (secure-ssid/centralmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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