Skip to main content
Glama

room_level

Equalize audio across devices by reading the active device's volume and applying the same percentage to every other live device.

Instructions

Level the room: read the active device volume and apply the same percent to every other live device. Quota: 🟡 1 read + N writes (one volume PUT per target device).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNoPreview only: validate inputs and describe exactly what would change without performing it
response_formatNo'concise' = human prose, 'detailed' = more fields in prose, 'json' = raw API objectconcise
exclude_device_idNoAdditional device id to leave untouched
Behavior4/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It explicitly states that the tool performs 1 read and N writes, with one volume PUT per target device, which reveals the mutating side effect and quota cost. It does not discuss auth or failure behavior, but the core state-changing behavior is transparent.

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?

Two dense sentences with zero fluff: the first states the purpose and mechanism, the second gives quota details. The most important behavioral information is front-loaded before operational cost details.

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 straightforward mutation tool with three optional, fully documented parameters and no output schema, the description provides enough context to call it correctly. It could note what happens when no other live devices exist or how results are reported, but those are minor gaps against the clear behavioral and quota summary.

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 baseline is 3. The description adds high-level operational context (N writes, target devices) but does not elaborate on individual parameters beyond what the schema already documents. That is sufficient given the schema's completeness.

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 opens with a clear verb phrase 'Level the room' and then specifies the exact action: read the active device volume and apply the same percent to every other live device. This clearly identifies the resource (live devices) and the operation, and it distinguishes the tool from volume-related siblings such as volume_step or set_volume.

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 description conveys a clear user intent (leveling the room) and precisely explains what happens, making it evident when to use this tool. It does not explicitly name alternatives or exclude conditions, but the operation itself is the usage context. Since no when-not guidance is provided, it falls short of a 5.

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/NovaLux12/spotify-mcp-server'

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