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suno_generate_music

Generate complete music from a text prompt. Describe genre, mood, or theme and get AI-created lyrics, melody, and arrangement.

Instructions

Generate AI music from a text prompt using Suno's Inspiration Mode.

This is the simplest way to create music - just describe what you want and Suno
will automatically generate appropriate lyrics, melody, style, and arrangement.

Use this when:
- You want quick music generation with minimal input
- You don't have specific lyrics in mind
- You want Suno to be creative with the arrangement

For full control over lyrics and style, use suno_generate_custom_music instead.

Returns:
    Task ID and generated audio information including URLs, title, lyrics, and duration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesDescription of the music to generate. Be descriptive about genre, mood, instruments, and theme. Examples: 'A happy birthday song with acoustic guitar', 'Epic orchestral battle music with dramatic choir', 'Chill lo-fi hip hop beat for studying'
modelNoSuno model version. 'chirp-v5-5' is the latest and recommended for best quality with 8-minute max duration. 'chirp-v4-5' is a reliable choice for most use cases. Older models (v3, v3-5, v4) have shorter duration limits.chirp-v5-5
instrumentalNoIf true, generate instrumental music without vocals. Default is false (with vocals).
variation_categoryNoVariation intensity for v5+ models. 'high' for maximum variation, 'normal' for balanced, 'subtle' for minimal changes. Only supported in chirp-v5 and above.
callback_urlNoWebhook callback URL for asynchronous notifications. When provided, the API will call this URL when the audio is generated.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description mentions return value (Task ID, URLs, etc.) but does not explicitly state asynchronous/synchronous behavior or other operational details like rate limits or processing time.

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?

Well-structured with bullet points for usage cases, concise but could be slightly tighter.

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?

Covers key aspects: what it does, when to use, alternative tool, return value. Output schema exists, so no need to detail return format further.

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 100%, and the description adds no additional meaning beyond the schema parameter descriptions.

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 clearly states it generates AI music from a text prompt using Suno's Inspiration Mode, and distinguishes from the sibling suno_generate_custom_music which offers more control.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly lists when to use (quick generation, minimal input, no specific lyrics) and when to use alternative (full control via suno_generate_custom_music).

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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