detach_from_instance

A write tool on the Vultr MCP server.

SERVERVultr MCP SOURCErsp2k/mcp-vultr

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/rsp2k-mcp-vultr/detach-from-instance.md

WHAT IT DOES

What detach_from_instance does on Vultr MCP

AI agents use detach_from_instance to create or update resources in Vultr MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Vultr MCP environment.

RISK

Why detach_from_instance is rated Medium

The name implies detaching a resource (volume, network interface, IP, etc.) from an instance. This is typically a reversible write/modify operation rather than a deletion — the resource still exists but is disassociated. However, detaching could cause service disruption (e.g., detaching a boot volume). Confidence is lowered significantly due to empty description.

From the tool's definition Tool name 'detach_from_instance' suggests removing/detaching a resource from a compute instance. Description is empty and uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs detach_from_instance safely

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

detach_from_instance Rate-limited

detach_from_instance stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "detach_from_instance": {
      "limits": [
        {
          "counter": "detach_from_instance_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Vultr MCP, apply this rule, and every detach_from_instance call is checked against it from then on.

FAQ

Questions about detach_from_instance

What does the detach_from_instance tool do? +

detach_from_instance is a write tool on the Vultr MCP server. It is categorised as a Write tool in the Vultr MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on detach_from_instance? +

Register the Vultr MCP server in PolicyLayer and add a rule for detach_from_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 Vultr MCP. Nothing to install.

What risk level is detach_from_instance? +

detach_from_instance is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit detach_from_instance? +

Yes. Add a rate_limit block to the detach_from_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 detach_from_instance completely? +

Set action: deny in the PolicyLayer policy for detach_from_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 detach_from_instance? +

detach_from_instance is provided by the Vultr MCP server (rsp2k/mcp-vultr). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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