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ryanpag3

coolercontrol-mcp

by ryanpag3

Current temperatures and fan speeds

get_status
Read-only

Retrieves current temperature, fan speed, duty, power, and frequency readings from a CoolerControl daemon, optionally filtered by device and channel.

Instructions

Latest sensor readings: temperatures (°C), fan rpm, duty (%), power (W) and frequencies (MHz). Optionally limited to one device and channel.

Input Schema

NameRequiredDescriptionDefault
rawNoReturn the daemon's raw JSON instead of the condensed summary
deviceNoDevice uid, uid prefix (8+ chars) or exact device name, as shown by list_devices
channelNoChannel name to limit to (e.g. fan1); requires device

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

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 openWorldHint=false, so the safety profile is covered by structured data. The description usefully adds that these are 'latest' snapshot readings in named units, but says nothing about volume of data, refresh cadence, or what happens when a device is offline — which matters for a polling-style tool.

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

Conciseness4/5

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

Two tight sentences with no filler — the metric list and units come first, the scoping caveat second. Slightly dense, but every phrase carries information.

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?

With no output schema, the description carries the burden of describing return values and does so by naming every metric and its unit, which is exactly what an agent needs to interpret the payload. What is missing is the response structure (per-device grouping) and default scope when no device is given.

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

Parameters3/5

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

Schema coverage is 100%, so all three parameters are documented in structured data, including the device/channel dependency and the raw flag. The description reinforces the optional device/channel scoping but adds nothing about the raw output flag, so the baseline 3 applies.

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 names a specific resource (latest sensor readings) and enumerates exactly which metrics come back — temperatures, fan rpm, duty, power, frequencies — with units. That is far more informative than the title alone, though it never contrasts itself with close siblings like get_health or get_channel_settings.

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?

'Optionally limited to one device and channel' implies the default is all devices and sketches a scoping choice, but there is no explicit statement of when to reach for this over get_health or get_channel_settings, and no note of prerequisites or cost.

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