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flowspeech_tts_multi

Convert two-speaker dialogue text to audio by assigning distinct voices to each speaker via labels.

Instructions

Convert a two-speaker dialogue to speech using FlowSpeech. Assign Speaker1: and Speaker2: prefixes in the text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesDialogue text with speaker labels. Example: "Speaker1: Good morning! Speaker2: Good morning! How are you?"
voice_aNoVoice for Speaker1. Default: "Charon"Charon
voice_bNoVoice for Speaker2. Default: "Kore"Kore
output_pathNoFile path to save audio. Defaults to a timestamped file in ~/.flowspeech-mcp/audio
Behavior2/5

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

No annotations provided; the description only mentions prefixes and conversion, omitting details like error handling, rate limits, or return behavior.

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?

Single sentence with clear, front-loaded purpose and no unnecessary words.

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?

No output schema, but the description fails to mention what the tool returns (e.g., saved file path), leaving the agent uncertain of the outcome.

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 covers all params with descriptions; the description reinforces the prefix format but adds little 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 states it converts a two-speaker dialogue to speech, specifying the required prefix format, and distinguishes from the sibling flowspeech_tts for single speaker.

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 usage for two-speaker dialogues, contrasting with the single-speaker sibling, but lacks explicit when-not or alternative 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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