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producer_generate_music

Generate AI music from a text prompt. Describe genre, mood, instruments, or theme, and Producer automatically creates lyrics, melody, and arrangement.

Instructions

Generate AI music from a text prompt using Producer/Riffusion.

This is the simplest way to create music - just describe what you want and
Producer 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 the AI to be creative with the arrangement

For full control over lyrics and style, use producer_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'
modelNoProducer model version. 'FUZZ-2.0' is the default and recommended for most use cases. 'FUZZ-2.0 Pro' offers the highest quality. 'FUZZ-2.0 Raw' provides raw unprocessed output.FUZZ-2.0
instrumentalNoIf true, generate instrumental music without vocals. Default is false (with vocals).
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?

No annotations are provided, so the description carries the full burden. It explains what the tool does and returns (Task ID, audio info), but does not disclose behavioral traits such as rate limits, authentication needs, or what happens after generating the task ID. The mention of callback_url hints at async behavior, but more detail would be helpful. Score is adequate but not rich.

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?

The description is front-loaded with the core action, uses bullet-like formatting for use cases, and each sentence serves a purpose. It is concise without being terse, and well-structured for agent comprehension.

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?

Given the complexity of music generation and the presence of many sibling tools, the description covers the essential functionality and how it differs from alternatives. It mentions the return format (Task ID, audio info), but does not detail the output schema fields. With an output schema available, this is acceptable. A 4 is appropriate.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds value by explaining the model variants (e.g., 'FUZZ-2.0 Pro' for highest quality), providing examples for the prompt parameter, and clarifying the purpose of instrumental and callback_url. This goes beyond the schema alone.

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 that the tool generates AI music from a text prompt, using Producer/Riffusion. It specifies the verb 'generate' and resource 'music', and distinguishes itself from the sibling tool 'producer_generate_custom_music' by noting that this is for quick generation with minimal input.

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?

The description explicitly lists when to use this tool (quick music generation, minimal input, no specific lyrics, want AI creativity) and when not to (use producer_generate_custom_music for full control over lyrics and style). This provides clear decision guidance.

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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