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create_voice_clone

Submit a verification recording to finalize a custom voice clone and obtain a voice ID for music generation.

Instructions

EXPERIMENTAL (#20) — STEP 2 — after the voice owner records the verification phrase from prepare_voice_clone, submit that recording to finish the voice. On success returns a voiceId usable in generate_music. Unverified end-to-end.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
waitNo
styleNoOptional style hint, e.g. "Pop, Female Vocal"
task_idYestask_id from prepare_voice_clone (must be at wait_validating)
verify_urlYesPublic URL of the voice owner's recording of the verification phrase
voice_nameYesName for the custom voice
descriptionNoOptional description
max_wait_secondsNo
singer_skill_levelNoOptional
Behavior3/5

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

No annotations exist, so the description carries the full burden. It highlights experimental status and unverified end-to-end flow but does not disclose what happens on failure, required permissions, or state changes beyond returning a voiceId.

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 extremely concise at one sentence, front-loading key info (EXPERIMENTAL, STEP 2). Every word adds value without fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 8 parameters and no output schema, the description is somewhat sparse. It omits details like verification URL format, timeout behavior for max_wait_seconds, and failure handling, leaving gaps for the agent.

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?

With 75% schema coverage, most parameters already have descriptions. The tool description adds no extra meaning beyond what's in the schema, so it meets the baseline but does not improve understanding.

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 is the second step after prepare_voice_clone, requiring the verification recording. It specifies the outcome (voiceId) and usage context (generate_music), distinguishing it from siblings like prepare_voice_clone and regenerate_voice_clone.

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 explicitly tells when to use (after prepare_voice_clone, after recording the verification phrase) but does not provide exclusions or alternatives for failure cases.

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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