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HanoLab Voice Conversion

Estimate voice conversion

prepare_voice_conversion

Prepare a fixed quote for uploaded audio and a ready owned voice. No credits are spent. Explain estimated_credits, obtain the user’s budget and explicit confirmation, then use convert_voice with this exact quote_id.

Input Schema

NameRequiredDescriptionDefault
audio_idYes
voice_idYes
full_songNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=false/destructiveHint=false/openWorldHint=false, so the description carries the real behavioral weight: it discloses that no credits are spent, that it produces a fixed quote_id that must be reused verbatim, and that a human confirmation step is required. It does not say whether the quote expires or for how long it stays valid.

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?

Three short sentences with no filler; the no-cost guarantee and the confirmation requirement are front-loaded ahead of the handoff instruction.

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?

With no output schema, the description usefully names the return value (estimated_credits) and the artifact to carry forward (quote_id), which is what an agent needs to complete the two-step flow. Minor gaps remain around quote validity and the undocumented full_song parameter.

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 0%, so the description must compensate, and the input schema itself has no parameter descriptions. The description implies prerequisites for audio_id ('uploaded audio') and voice_id ('ready owned voice'), adding real constraint meaning, but says nothing about the full_song flag or UUID formats, leaving one of three parameters unexplained.

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?

States a specific verb (prepare) and resource (a fixed quote for uploaded audio plus an owned voice), and names the sibling it hands off to (convert_voice). An agent can distinguish this from convert_voice without opening either schema.

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?

Gives an explicit ordered workflow: explain estimated_credits, obtain the user's budget and explicit confirmation, then call convert_voice with this exact quote_id. This is when-to-use, when-not-to-act, and the alternative all in one.

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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