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Connect RVC voice conversion bus

connect_rvc_voice_conversion_bus

Build an RVC voice conversion scaffold in TouchDesigner with source audio, model maps, output contracts, latency notes, and consent warnings.

Instructions

Create an RVC-style voice conversion scaffold with source audio, model maps, output contracts, latency notes, and consent warnings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoGenerated baseCOMP name.rvc_voice_conversion_bus
activeNo
audio_fileNo
index_pathNo./models/rvc/voice.index
model_pathNo./models/rvc/voice.pth
server_urlNows://127.0.0.1:9040
parent_pathNoParent COMP for the RVC scaffold./project1
request_urlNohttp://127.0.0.1:9040/convert
source_modeNoaudio_file
speaker_countNo
transpose_semitonesNo
Behavior2/5

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

Annotations are sparse (readOnlyHint=false, openWorldHint=true, destructiveHint=false), so the description carries the burden of disclosing behavior. It enumerates scaffold contents but does not mention system side effects such as node creation under parent_path, network/server connections, file writes, or external service dependencies. This leaves significant behavioral ambiguity.

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?

The description is a single, compact sentence that efficiently lists key aspects without redundancy or filler. It is front-loaded with the core action and resource, making it easy to scan. However, given the tool's 11-parameter complexity, the brevity approaches under-specification.

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 11 parameters, no output schema, and minimal annotations, this description is too thin to support correct invocation. It lacks prerequisites, return behavior, parameter relationships, and any guidance on how the scaffold is created or connected. For a create operation of this complexity, the description does not provide enough context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 18%, with most parameters lacking descriptions. The tool description broadly mentions 'source audio' and 'model maps' but does not map these to concrete parameters like audio_file, model_path, source_mode, server_url, or transpose_semitones. It therefore fails to compensate for the low schema coverage.

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 uses a specific verb ('Create') and names a distinct resource ('RVC-style voice conversion scaffold'), which clearly differentiates it from the many other connect_* and create_* siblings. The added components (source audio, model maps, output contracts, latency notes, consent warnings) make the tool's purpose unambiguous.

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?

The description implies usage for building an RVC voice conversion scaffold through its wording, but it offers no explicit when-to-use guidance or alternatives. There is no indication of when to choose this over similar voice/AI bus tools, so usage is inferred rather than stated.

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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