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suno_mashup_music

Blend multiple songs into a cohesive mashup track by combining their audio elements. Ideal for creating DJ-style mashups from generated songs.

Instructions

Create a musical mashup by blending multiple songs together.

Combines elements from multiple generated songs into a single cohesive
mashup track. Different from lyrics mashup - this blends the actual audio.

Use this when:
- You want to blend two or more songs together musically
- You're creating a DJ-style mashup
- You want to combine melodies from different songs

Returns:
    Task ID and the mashup audio information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mashup_audio_idsYesList of audio IDs to mashup together. Provide 2 or more song IDs.
modelNoModel version to use.chirp-v5-5
callback_urlNoWebhook callback URL for asynchronous notifications.

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 carries the full burden. It mentions the return type (Task ID and mashup audio info) but does not disclose other behavioral traits such as whether the operation is destructive, authentication requirements, rate limits, or processing time. The description is adequate but not deep.

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 concise (~100 words) with a clear structure: a one-line purpose, a brief explanation, a bulleted usage list, and a return statement. Every sentence adds value, and the key action is front-loaded.

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 context of many sibling music tools and an output schema existing, the description covers purpose, usage scenarios, and return values. It lacks information on prerequisites (e.g., how to obtain audio IDs) and any limitations (e.g., max number of songs), but overall is reasonably complete for a simple tool.

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 100%, so baseline is 3. The description does not add any extra meaning beyond the schema for parameters like 'mashup_audio_ids', 'model', or 'callback_url'. The schema already describes them sufficiently.

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 the tool creates a musical mashup by blending multiple songs, and explicitly distinguishes itself from the lyrics mashup sibling by noting it blends actual audio. The verb 'create' and resource 'musical mashup' are specific.

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

Usage Guidelines4/5

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

The description provides a 'Use this when' bullet list covering musical blending, DJ-style mashups, and combining melodies. It also contrasts with lyrics mashup, acting as an alternative. However, it lacks explicit 'when not to use' guidance, but the context is clear enough.

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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