Low Risk

list_gpu_types

List every GPU type Prime Intellect currently offers (e.g. "H100_80GB", "A100_80GB").

How to control list_gpu_types ↓

What list_gpu_types does on Prime Intellect

AI agents call list_gpu_types to retrieve information from Prime Intellect without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why list_gpu_types needs a policy

This tool only reads and enumerates static product information (available GPU types). It does not create, modify, delete, execute code, or commit financial obligations. It is foundational lookup data needed to inform other decisions but imposes no risk by itself. Severity is low because misuse poses minimal harm—an agent listing GPU types repeatedly causes no resource consumption or damage.

From the tool's definition Tool name is 'list_gpu_types' and description states it 'List[s] every GPU type Prime Intellect currently offers'.

Risk signalsBulk/mass operation — affects multiple targets

Documented attack patterns abuse exactly the kind of access list_gpu_types gives an agent:

How to control list_gpu_types

PolicyLayer is an MCP gateway — it sits between your AI agents and Prime Intellect, and nothing reaches the server without passing your rules. This is the rule we recommend for list_gpu_types:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_gpu_types": {}
  }
}

list_gpu_types 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 Prime Intellect — 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 list_gpu_types

What does the list_gpu_types tool do? +

List every GPU type Prime Intellect currently offers (e.g. "H100_80GB", "A100_80GB"). It is categorised as a Read tool in the Prime Intellect MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_gpu_types? +

Register the Prime Intellect MCP server in PolicyLayer and add a rule for list_gpu_types: 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 Prime Intellect. Nothing to install.

What risk level is list_gpu_types? +

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

Can I rate-limit list_gpu_types? +

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

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

list_gpu_types is provided by the Prime Intellect MCP server (kvrancic/prime-intellect-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Prime Intellect tool call.

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

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9 Prime Intellect tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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