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Tommertom

Plugwise MCP Server

by Tommertom

set_temperature_offset

Adjust thermostat temperature calibration by applying a fixed offset to correct measured temperature values for accurate climate control.

Instructions

Set the temperature offset (calibration) for a thermostat device. This adjusts the measured temperature by a fixed offset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
device_idYesID of the thermostat device
offsetYesTemperature offset in °C (can be positive or negative)
Behavior2/5

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

With no annotations, the description carries full burden but lacks critical behavioral details. It mentions 'adjusts the measured temperature by a fixed offset' but doesn't disclose permissions required, whether the change is reversible, rate limits, or what happens if the device is offline. For a mutation tool with zero annotation coverage, this is insufficient.

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 two concise sentences with zero waste, front-loaded with the core action and efficiently explaining the effect. Every sentence earns its place by adding useful context.

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

Completeness2/5

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

For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks information on permissions, error handling, return values, and how it differs from sibling tools, leaving significant gaps for an AI agent to understand full context.

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 description coverage is 100%, so the schema already documents both parameters ('device_id' and 'offset'). The description adds minimal value by clarifying that the offset is for calibration and can be positive or negative, but doesn't provide additional syntax or format details beyond what the schema provides.

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 verb ('Set') and resource ('temperature offset for a thermostat device'), explaining it adjusts measured temperature by a fixed offset. However, it doesn't explicitly differentiate from sibling tools like 'set_temperature' or 'get_temperature_offset', which would require a 5.

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?

No guidance is provided on when to use this tool versus alternatives such as 'set_temperature' or 'get_temperature_offset'. The description only states what it does, not when it's appropriate or what prerequisites might be needed.

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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