get_performance_info

Get real-time CPU, memory, disk, and network performance metrics.

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-performance-info.md

What get_performance_info does on CLIO Adios

AI agents call get_performance_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.

Why get_performance_info is rated Low

This is a read-only query tool that collects and returns system performance data. It has no side effects, does not modify state, and does not execute arbitrary code or trigger external operations. The blast radius of misuse is minimal—an agent could at worst gather operational visibility but cannot harm systems or data.

From the tool's definition Tool retrieves performance metrics ('Get real-time CPU, memory, disk, and network performance metrics') with no modification, deletion, or execution of external operations.

Questions about get_performance_info

What does the get_performance_info tool do? +

Get real-time CPU, memory, disk, and network performance metrics. 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_performance_info? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for get_performance_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_performance_info? +

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

Can I rate-limit get_performance_info? +

Yes. Add a rate_limit block to the get_performance_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_performance_info completely? +

Set action: deny in the PolicyLayer policy for get_performance_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_performance_info? +

get_performance_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.

More on CLIO Adios, and thousands of servers like it.

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