Low Risk

get-gpu-instance

get-gpu-instance

How to control get-gpu-instance ↓

What get-gpu-instance does on Novita MCP Server

AI agents call get-gpu-instance to retrieve information from Novita MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get-gpu-instance needs a policy

The 'get' prefix indicates data retrieval with no modifications. Within the GPU instance management context described, this tool retrieves details about an existing GPU instance, which is a read-only operation with no side effects. The broader API surface shows distinct write (create-*), destructive (delete-*), and execute (start/stop) operations, placing this tool in the Read category.

From the tool's definition Tool name 'get-gpu-instance' follows read operation naming convention (get/list/fetch); server description indicates it supports 'GPU instance operations (list, create, start, stop, etc.)' with 'get' explicitly in retrieval context; empty description reduces…

Documented attack patterns abuse exactly the kind of access get-gpu-instance gives an agent:

How to control get-gpu-instance

PolicyLayer is an MCP gateway — it sits between your AI agents and Novita MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get-gpu-instance:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get-gpu-instance": {}
  }
}

get-gpu-instance is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Novita 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.
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Related tools and policies

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Questions about get-gpu-instance

What does the get-gpu-instance tool do? +

get-gpu-instance. It is categorised as a Read tool in the Novita MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get-gpu-instance? +

Register the Novita MCP Server MCP server in PolicyLayer and add a rule for get-gpu-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 Novita MCP Server. Nothing to install.

What risk level is get-gpu-instance? +

get-gpu-instance is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get-gpu-instance? +

Yes. Add a rate_limit block to the get-gpu-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 get-gpu-instance completely? +

Set action: deny in the PolicyLayer policy for get-gpu-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 get-gpu-instance? +

get-gpu-instance is provided by the Novita MCP Server MCP server (novitalabs/novita-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 Novita MCP Server tool call.

Start from Novita MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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20 Novita MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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