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cover_audio

Create a cover version of an existing audio track using Suno AI. Specify vocal mode, style, and lyrics to generate a new rendition. Returns a task ID and status for tracking.

Instructions

Create a Suno task on RunAPI (cover audio). 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 cover lyrics to sing.
promptNoCover brief for automatic lyrics.
persona_idNoPersona ID.
timeout_msNo
upload_urlYesURL of the audio file to cover.
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.
negative_tagsNoStyles to avoid.
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 are provided, so description must disclose behavior. It mentions returns of task id, status, output URLs, but fails to explain async nature, polling, or side effects. The schema includes wait and poll_interval_ms, but description omits these behavioral details.

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?

Description is a single concise sentence with no wasted words. However, it could include more essential context without sacrificing conciseness. Structure is fine.

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?

With 18 parameters and no output schema or annotations, the description is too minimal. It doesn't explain the workflow (async creation, polling), parameter relationships (upload_url vs vocal_mode), or output format. More context is needed for a tool this complex.

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 high (89%), so most parameters already have descriptions. The description adds minimal parameter context beyond output information. Baseline 3 is appropriate as schema does the heavy lifting.

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?

Description clearly states the tool creates a Suno task for covering audio, using specific verb 'Create' and resource 'Suno task'. This distinguishes it from sibling tools like blend_lyrics or extend_music.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool versus alternatives. While the purpose is clear, it doesn't mention scenarios or exclusions relative to siblings like text_to_music or create_mashup.

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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