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AI Process Manager

AI Process Manager

by aipm-engine
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Local

get_system_status

Read-only

Retrieve live system metrics—CPU, memory, GPU, disk space, network, uptime, and displays—to assess machine health at a glance.

Instructions

Machine snapshot: CPU%, RAM used/total, GPU name and usage, disk free space per drive, network, uptime, active displays.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_system_status"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds the point-in-time 'snapshot' behavior and the exact list of metrics, but does not disclose edge cases like GPU absence or permission requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that front-loads 'Machine snapshot' and efficiently enumerates all returned metrics. Every word adds value with no unnecessary content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, read-only tool with no output schema, the description provides a thorough list of return contents. It is sufficient for an agent to understand what to expect, though it omits minor format details that are not critical.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the baseline is 4. The description correctly implies no inputs are required, and there is no parameter redundancy to penalize.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as a 'machine snapshot' and enumerates the specific metrics returned (CPU%, RAM, GPU, disk, network, uptime, displays). It is clear but does not explicitly distinguish from sibling tools like health_check or list_processes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as health_check or get_audit_log. The description is purely informational and lacks any contextual or exclusionary cues.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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