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obseard223

tempstick-mcp

by obseard223

get_freezer_status

Check freezer sensor status in one call: retrieve the latest reading, recent history summary, and alert definitions to determine whether conditions are OK.

Instructions

One-call status check for a sensor (named for the classic freezer use case): latest reading, recent history summary and the account's alert definitions together, so the assistant can answer 'is it OK?' in a single call.

Input Schema

NameRequiredDescriptionDefault
sensor_idYesSensor ID, as returned by list_sensors.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden; it does disclose that this is a composite read that fans out over three data sets in one call, which is genuinely useful. However, it says nothing about permissions, error behavior for an unknown sensor_id, how much history the 'recent history summary' covers, or whether alerts are the account's global definitions versus sensor-scoped.

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?

One sentence, front-loaded with the core action and ending with the payoff ('answer in a single call'). It is dense but slightly comma-heavy; the parenthetical justification for the naming is defensible but is the least essential clause.

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 and no annotations, the description compensates well by naming the three components returned. What is missing is scope detail an agent would want: what 'recent' means, alert scoping, and failure behavior for an invalid sensor_id.

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% and the single parameter is documented as 'Sensor ID, as returned by list_sensors,' so the schema does the work. The description adds nothing about sensor_id beyond the general framing, so the baseline 3 applies.

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

Purpose5/5

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

States a specific verb ('status check') and resource ('a sensor') and then enumerates exactly what is returned: latest reading, recent history summary, and alert definitions. This makes it distinguishable from the sibling tools (get_sensor, get_readings_history, get_alerts) because it explicitly describes itself as the aggregation of those pieces, and the parenthetical explains the otherwise-puzzling 'freezer' naming.

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

Usage Guidelines4/5

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

The phrase "so the assistant can answer 'is it OK?' in a single call" gives a clear usage context and implicitly routes the agent here instead of chaining get_sensor + get_readings_history + get_alerts. It stops short of explicit when-not conditions (e.g., when you need full history, use get_readings_history).

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