This record as markdown: /tools/eaveluo-1panel-mcp/get-gpu-info.md
What get_gpu_info does on 1Panel MCP Server
AI agents call get_gpu_info to retrieve information from 1Panel MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_gpu_info is rated Low
This tool retrieves GPU/XPU information from the system. It is purely informational—reading hardware status and metrics—with no side effects, no data modification, and no capability to execute commands or trigger external operations. It falls squarely into the Read category.
From the tool's definition Tool name 'get_gpu_info' and description 'Get GPU/XPU info' indicate a query operation that retrieves hardware information without modifying any state.
Attacks that exploit this kind of access
The rule that runs get_gpu_info safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 1Panel MCP Server, 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 is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect 1Panel MCP Server, apply this rule, and every get_gpu_info call is checked against it from then on.
Questions about get_gpu_info
Get GPU/XPU info (XPack). It is categorised as a Read tool in the 1Panel MCP Server MCP Server, which means it retrieves data without modifying state.
Register the 1Panel MCP Server 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 1Panel MCP Server. Nothing to install.
get_gpu_info is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
get_gpu_info is provided by the 1Panel MCP Server MCP server (eaveluo/1panel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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