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Aetherwave Studio

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by AetherWave-Studio
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JavaScript
Remote

Generate music (Suno)

aetherwave_generate_music

Generate AI music tracks from a style or mood description. Supports instrumental, custom lyrics, and model version selection; returns two tracks per submission.

Instructions

Generates AI music via Suno. Returns two tracks per submission. Default model is V5.5 (newest, best quality). For instrumental output set instrumental: true. Music gen typically takes 30-90s - this tool polls with up to a 6-minute budget. Note: the title param is advisory for instrumentals - Suno often writes its own title from the prompt content for instrumental generations. Transient GENERATE_AUDIO_FAILED errors are common; retry once before degrading the model version.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesStyle/mood/topic description. E.g. 'Lo-fi ambient track, rain sounds, warm pads' or 'High-energy synthwave with driving bass'.
instrumentalNoIf true, no vocals. Default false.
modelNoSuno model version. Defaults to V5_5 (current best).
titleNoOptional title for the generated tracks.
lyricsNoCustom lyrics. If omitted, Suno will generate lyrics from the prompt (unless instrumental=true).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.6

TDQS

A4.5/5.0
Behavior5/5

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

Adds significant behavioral context beyond annotations: returns two tracks, polling mechanism, common transient errors with retry advice, model version behavior. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Dense single paragraph with all key information, though could benefit from bullet points for improved scannability. Still efficient and front-loaded.

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

Completeness3/5

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

Lacks return value details despite no output schema. Mentions 'returns two tracks' but doesn't specify format (URLs, IDs). Polling is described but not how results are delivered. Slight gap in completeness.

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?

Schema coverage is 100%, but description adds crucial context: instrumental activation, title advisory for instrumentals, lyrics generation fallback, model default, and prompt examples. This meaningfully supplements 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?

Clearly states 'Generates AI music via Suno' with a specific verb and resource. Distinguished from sibling tools like aetherwave_generate_image and aetherwave_generate_video by focusing on music generation.

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?

Provides detailed guidance on when to use: default model, instrumental option, timing and polling budget, error handling. While no explicit alternatives are named, the context of music generation vs other tools is clear.

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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