Skip to main content
Glama
jonnyblankinship

io.github.jonnyblankinship/hue-ble-mcp

set_scene

Apply a preset lighting scene to a Philips Hue light.

Instructions

Apply a preset lighting scene to a Philips Hue light.

Available scenes: relax - Dim warm amber, great for winding down energize - Bright cool white, boost alertness concentrate - Bright neutral white, focus mode reading - Warm white at comfortable reading level nightlight - Very dim warm red, minimal sleep disruption bright - Full brightness daylight white

Args: scene: Scene name (case-insensitive) address: Bluetooth address from scan_hue_lights. Leave blank to use HUE_LIGHT_ADDRESS env var.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sceneYes
addressNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It only mentions applying a scene and address sourcing, omitting side effects, state changes, or error conditions.

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 concise with a clear introductory sentence and a list of scenes. Every sentence adds value; no fluff.

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?

The description covers required information (scenes, address) and leverages the output schema for return values. Slightly incomplete on success/failure behavior, but adequate for the tool's simplicity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description compensates fully: enumerates available scenes with effects, explains address usage (from scan_hue_lights or env var), adding meaning beyond the schema.

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 'Apply a preset lighting scene to a Philips Hue light.' It lists specific scene names with descriptions, distinguishing it from sibling tools like set_brightness or set_color.

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 when to use (to apply a scene) but lacks explicit when-not or alternative guidance. It doesn't contrast with siblings like set_brightness for precise control.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jonnyblankinship/hue-ble-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server