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hemantkamalakar

Nordic Thingy:52 MCP Server

read_all_sensors

Fetch complete environmental data in one request: temperature, humidity, pressure, CO2, and TVOC. Use this to monitor air quality and conditions.

Instructions

Read all environmental sensors at once.

Returns: Complete environmental data including temperature, humidity, pressure, CO2, and TVOC

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
co2NoCO2 in ppm
tvocNoTVOC in ppb
humidityNoHumidity in %
pressureNoPressure in hPa
timestampNo
temperatureNoTemperature in Celsius

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It explicitly states the return behavior and the included readings, and the verb 'Read' implies a non-mutating operation. It does not mention connection prerequisites or failure behavior, but for a zero-argument read tool this is adequate.

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 very concise, front-loads the action, and uses a short return list to add value without filler. Every sentence contributes useful information.

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?

This is a simple, no-argument read operation with an output schema present. The description sufficiently explains the purpose and expected returned data, so an agent can select and invoke it correctly without additional context.

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 schema coverage is complete and no parameter documentation is needed. The description adds no parameter meaning, but none is required.

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?

The description uses a specific verb and resource: 'Read all environmental sensors at once.' It clearly lists the measurement types and differentiates itself from the sibling single-sensor read tools such as read_temperature and read_humidity.

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?

'At once' clearly implies this is the right tool when the agent needs a complete environmental snapshot rather than individual readings. It does not explicitly name alternatives or exclusion conditions, but the context makes the intended use clear.

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