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WLAN-Pi
by WLAN-Pi

get_device_stats

Retrieve live WLAN Pi system metrics including IP, CPU, RAM, disk usage, temperature, and uptime for monitoring device health.

Instructions

Get WLAN Pi live system metrics: IP address, CPU usage, RAM usage, disk usage, CPU temperature, and uptime.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It communicates that this is a live read operation and lists what it returns, but it does not explicitly state side-effect-free behavior, permissions needed, or failure characteristics.

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, front-loaded sentence with no filler. Every clause contributes either the action, the scope, or a concrete returned metric.

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

Completeness5/5

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 an output schema present, the description is complete: it names the resource and fully enumerates the metrics returned. There are no parameter or return-value ambiguities left for an agent to resolve.

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?

There are zero parameters, so the schema already fully covers this dimension. The description adds value by clarifying what data the tool returns, which is sufficient for an agent to invoke it correctly.

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 uses a specific verb ('Get'), names the resource ('WLAN Pi live system metrics'), and enumerates the exact metrics returned. It is clear, though it does not explicitly distinguish itself from similar get_device_info or get_device_model siblings.

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

Usage Guidelines3/5

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

The description implies usage when live system metrics are needed, but it gives no explicit when-to-use guidance, exclusions, or alternatives. An agent must infer when this tool is more appropriate than other get_* sibling tools.

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