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hedging8563

TokenLab MCP Server

by hedging8563

Create music generation task

create_music

Generate music using Suno models by submitting a description and optional settings, returns a task ID to track generation progress.

Instructions

Create music generation task Creates a music generation task using Suno. Returns a task ID for polling.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mvNoOfficial Suno model version. Required when creating music (action omitted or MUSIC); omit for lyrics-only requests.
tagsNo
modelNosuno_music
titleNo
actionNo
promptNoMusic description. Required for music, lyrics, upload-cover, and upload-extend requests; omit for add-instrumental.
audio_urlNoPublicly reachable reference or uploaded audio URL. Defaults to upload-cover when audio_operation is omitted.
continue_atNoTimestamp in seconds for continuation flows. Required when audio_operation is upload-extend.
negative_tagsNoStyles to avoid. Required when audio_operation is add-instrumental.
audio_operationNoUploaded-audio mode. upload-extend requires continue_at; add-instrumental requires audio_url, title, tags, and negative_tags.
continue_clip_idNoClip ID to continue when extending an existing generation.
make_instrumentalNoGenerate instrumental output without vocals.
Behavior3/5

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

Annotations indicate readOnlyHint=false (write), destructiveHint=false, and openWorldHint=true. The description adds that it returns a task ID for polling, implying asynchronous behavior. No contradiction with annotations found, but it does not disclose potential side effects, rate limits, or failure modes.

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

Conciseness3/5

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

The description consists of two sentences but is redundant: the first sentence repeats the title. It could be streamlined to one sentence without losing meaning.

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?

Given the complexity (12 parameters, no output schema), the description is too sparse. It only mentions returning a task ID but does not explain how to use it, error handling, or success criteria. Essential context is missing for effective use.

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

Parameters2/5

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

With 67% schema coverage (8 of 12 parameters described), the description itself adds no parameter information. It does not explain any parameter meanings beyond what the schema already provides, failing to compensate for the missing documentation.

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 states the tool creates a music generation task using Suno and returns a task ID for polling. It clearly identifies the verb and resource, and the context of 'music' distinguishes it from other creation tools like create_image or create_video. However, it could be more specific about the nature of the task.

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 like create_audio or other creation tools. There is no mention of prerequisites, ideal use cases, or situations where it should not be used.

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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