get_gpu_info

Get GPU model, memory, temperature, and utilization via nvidia-smi/rocm-smi.

SERVERCLIO Adios SOURCEpypi:clio-kit

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-iowarp-adios-mcp/get-gpu-info.md

WHAT IT DOES

What get_gpu_info does on CLIO Adios

AI agents call get_gpu_info to retrieve information from CLIO Adios without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_gpu_info is rated Low

This tool queries system hardware state and returns status information without side effects. It is purely informational and read-only, similar to system monitoring tools. The nvidia-smi and rocm-smi commands in query mode are non-destructive inspection utilities. No write, execute, destructive, or financial operations are involved.

From the tool's definition Tool retrieves GPU information (model, memory, temperature, utilization) via nvidia-smi/rocm-smi. The description indicates data collection with no modification, deletion, or execution of arbitrary operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_gpu_info safely

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

get_gpu_info Allowed

get_gpu_info is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_gpu_info": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about get_gpu_info

What does the get_gpu_info tool do? +

Get GPU model, memory, temperature, and utilization via nvidia-smi/rocm-smi. It is categorised as a Read tool in the CLIO Adios MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_gpu_info? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for get_gpu_info: 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 CLIO Adios. Nothing to install.

What risk level is get_gpu_info? +

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

Can I rate-limit get_gpu_info? +

Yes. Add a rate_limit block to the get_gpu_info 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_info completely? +

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

get_gpu_info is provided by the CLIO Adios MCP server (pypi:clio-kit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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