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OLGTX303
by OLGTX303

synthesize_with_clone

Clone a voice from a reference 48 kHz mono WAV to synthesize new speech with the same speaker identity, prosody, and style.

Instructions

Synthesize speech cloning a voice from a reference WAV. The reference WAV sets the speaker identity, prosody, and style. Both reference and output are 48 kHz mono WAV.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to synthesize.
reference_wav_pathYesAbsolute path to reference WAV (the voice to clone). Must be 48 kHz mono.
reference_textYesTranscript of the reference WAV (used for alignment).
output_filenameNoOutput WAV filename.cloned.wav
stepsNoDiffusion inference steps.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It explains the basic behavior: cloning from a reference WAV, setting speaker identity/prosody/style, and format. It omits details on side effects, auth requirements, or process reversibility, which are less critical for a synthesis tool but still absent.

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, consisting of two short sentences that front-load the core action and then provide essential details. Every word is purposeful with no redundancy.

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?

Given the absence of an output schema and annotations, the description is incomplete. It does not mention dependencies like model preloading (suggested by sibling tool 'preload_model'), output behavior, or error conditions. The agent may lack sufficient context to use the tool effectively.

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 adds context about reference WAV setting prosody and style, and the 48 kHz mono format for both files, but these are partially redundant with parameter descriptions. No significant new meaning beyond the schema.

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 specifies the tool performs speech synthesis by cloning a voice from a reference WAV, detailing that the reference sets speaker identity, prosody, and style. It distinguishes itself from sibling tools like 'synthesize' (generic TTS) and 'preload_model' (model loading). The format constraints are well-stated.

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 implies use for voice cloning tasks, contrasting with a standard synthesizer. However, it does not explicitly state when to use this tool versus alternatives or provide exclusion criteria. The context is clear but lacks direct guidance.

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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