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create_mashup

Create a music mashup by submitting two audio URLs and choosing a vocal mode, then receive a task ID, status, and output URLs.

Instructions

Create a Suno task on RunAPI (create mashup). Returns a task id, status, and output URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
waitNoPoll until the task reaches a terminal status.
modelNoRunAPI model slug for this model line.
styleNoMusic style.
titleNoMusic title.
lyricsNoExact mashup lyrics to sing.
promptNoMashup brief for automatic lyrics.
persona_idNoPersona ID.
timeout_msNo
vocal_modeYesVocal generation mode.
audio_weightNoAudio weight (0-1).
callback_urlNoWebhook URL for async notifications.
persona_typeNoPersona type.
style_weightNoStyle adherence weight (0-1).
vocal_genderNoVocal gender.
upload_url_listYesTwo audio URLs to mashup.
poll_interval_msNo
weirdness_constraintNoWeirdness constraint (0-1).
Behavior2/5

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

No annotations provided, so the description carries full burden. It mentions the tool is asynchronous (returns task id) but omits details like required authentication, 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.

Conciseness4/5

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

Single sentence with front-loaded action. Efficient but could include more context without being verbose.

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?

Despite high schema coverage, the description lacks workflow details, return value semantics, and error handling guidance for a complex tool with 17 parameters.

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 description coverage is high (88%), so baseline is 3. The description adds no extra semantic value beyond the schema's parameter descriptions.

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 Suno mashup task on RunAPI and returns key outputs. It distinguishes from related tools like blend_lyrics (lyrics blending) and cover_audio, but does not explicitly contrast.

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 like blend_lyrics or text_to_music. The description only states what it does, not the appropriate context.

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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