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marcinn2

gree-ac-mcp-server

Set target temperature

set_target_temperature

Sets the target temperature in °C for GREE/EWPE Wi-Fi air conditioners on your LAN. Uses device MAC or name, and rejects out-of-range values rather than silently clamping them.

Instructions

Set the target temperature in °C. Rejected (not silently clamped) if outside the device's configured min/max range.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
macNoDevice MAC (12 hex chars, the canonical identifier). Preferred selector.
nameNoDevice name from config, as a convenience alias for mac.
temperatureYesTarget temperature in degrees Celsius

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description must carry the behavioral burden. It usefully discloses that out-of-range temperatures are rejected rather than silently clamped, which is a valuable, non-obvious behavior. However, it does not describe response/error shapes, required device state, permissions, or other side effects, leaving meaningful gaps.

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 short sentences that front-load the core operation and then add a single high-value behavioral warning. There is no redundant or filler content.

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?

For a simple three-parameter setter, the description covers what the tool does and the most important failure mode, while the schema covers device selector semantics. It could go further by describing the success response or prerequisites, but those are minor gaps given the tool's low complexity.

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 schema already documents all three parameters at 100% coverage, so the baseline is 3. The description adds value by specifying that the temperature must be within the device's configured min/max range and that invalid values are rejected, which goes beyond the schema's simple 'degrees Celsius' description.

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 states a specific verb ('Set') and a specific resource ('target temperature') with explicit units in °C, making the operation unambiguous. It is naturally distinguishable from sibling setters like set_power and set_mode because it names a unique resource and adds the non-clamping behavior.

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?

The description implies this tool is for changing a device's target temperature, but it does not explicitly state when to use it versus alternatives or contrast it with sibling tools such as get_room_temperature or set_mode. The agent must infer the usage context from the tool name and sibling list.

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