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Next Unraid systemMetricsTemperature event

unraid_v4371_next_system_metrics_temperature
Read-onlyIdempotent

Retrieve the next system temperature metric from an Unraid server via a fixed GraphQL subscription, returning one bounded payload per request. Ideal for monitoring server heat levels in real time.

Instructions

Wait for the next event from this fixed GraphQL subscription, return one bounded payload, then disconnect.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.1

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive behavior. The description adds useful context beyond annotations: this is a one-shot subscription that returns a bounded payload and disconnects, preventing the assumption that it is a persistent stream. No contradiction with annotations.

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?

One tightly worded sentence conveys the entire behavioral contract: wait, return bounded payload, disconnect. Every phrase earns its place and the key behavioral information is front-loaded.

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

Completeness3/5

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

For a zero-parameter tool this covers the basic lifecycle well, and annotations cover the safety profile. However, there is no output schema and the description does not describe what the bounded payload contains, any timeout behavior, or possible error cases, leaving some uncertainty about what the caller receives.

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 input schema has zero parameters and 100% description coverage, so there are no parameter semantics for the description to clarify. Baseline 4 applies because there are no parameters requiring explanation.

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 states the action ('Wait for the next event'), the resource ('this fixed GraphQL subscription'), and the termination behavior ('return one bounded payload, then disconnect'). However, it does not explicitly mention 'temperature' or differentiate itself from the many sibling next_* subscriptions; the title carries that distinction.

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?

The description explains the tool's operational mechanics but provides no guidance on when to use this subscription versus sibling alternatives like the CPU, memory, or network metrics subscriptions. No exclusions or selection criteria are given.

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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