Skip to main content
Glama

Create music generation task

create_music

Generate music by submitting a prompt and optional parameters to Suno. Returns a task ID for polling the generation status.

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.
Behavior2/5

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

The description mentions returning a task ID for polling, hinting at async behavior, but does not disclose other behavioral traits like side effects, rate limits, or dependencies. Annotations indicate openWorldHint and not readOnly, but description adds minimal value beyond annotations.

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?

Two sentences, but the first repeats the title. It could be more efficient by removing the redundant phrase. Structure is acceptable but not optimal.

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 tool's complexity (12 params, no output schema), the description is incomplete. It does not explain how parameters interact, the polling workflow, or expected return structure beyond the task ID.

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 coverage is moderate (67%), and the description does not add new meaning beyond the schema. Each parameter's purpose is already described in the schema properties, so the description does not compensate for undocumented ones.

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 clearly states it creates a music generation task using Suno and returns a task ID. However, it doesn't differentiate from sibling tools like create_image or create_speech, and the first sentence is somewhat redundant with the title.

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 on when to use this tool vs alternatives, prerequisites, or context. The description does not mention when to use this over other creative tools or how to handle the async task polling.

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/hedging8563/tokenlab-mcp-server'

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