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Halozen-Inc

supertonic3-mcp

by Halozen-Inc

speak

Convert text to speech and save a WAV file locally, returning the absolute path and metadata. Supports multiple voices, languages, and expression tags for flexible audio generation.

Instructions

Convert text to speech and save a WAV file. Returns the absolute path and metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playNoIf true, play audio on this machine (STDIO/local use only).
textYes1–5000 characters; may include expression tags from list_expressions().
speedNoPlayback speed in [0.7, 2.0].
languageNoISO 639-1 code (en, ko, ja, …). Required for reliable non-English output.
voice_idNoBuilt-in voice (M1–M5, F1–F5). See list_voices().

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It discloses the primary behavior (saving a WAV file) and return value (absolute path and metadata), but does not mention side effects like file overwriting, execution context, or any required permissions. This is a minimal but acceptable level of disclosure for a straightforward conversion tool.

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 two short sentences, front-loaded with the core action and output. Every word earns its place, and there is no redundant information or filler.

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?

Given the moderate complexity (5 parameters, output schema present), the description adequately covers the tool's purpose and return value. It could improve by referencing the sibling helper tools (list_voices, list_expressions) to guide the agent toward parameter discovery, but the existing schema already includes those references, so the gap is minor.

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?

The input schema has 100% description coverage for all five parameters, including text constraints, speed range, language code, voice IDs, and the play flag. The description adds no additional parameter-level meaning beyond what the schema already provides, so a baseline of 3 is appropriate.

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 the tool converts text to speech and saves a WAV file, with a specific verb and resource. It also mentions returning the absolute path and metadata, distinguishing it from sibling tools like list_voices and list_expressions, which are list-only functions.

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 gives a clear context for when to use the tool (text-to-speech conversion) but provides no explicit guidance on when not to use it or how it relates to alternatives. The sibling tools list_voices and list_expressions are referenced in the parameter schema, but the description does not connect the dots for the agent, leaving usage coordination to inference.

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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