Skip to main content
Glama

flowspeech_tts

Converts text to speech with context-aware emotion control and over 30 voices. Returns the file path of the generated audio.

Instructions

Convert text to speech using FlowSpeech — a context-aware TTS engine with emotion control and 30+ voices. Returns the file path of the generated audio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to convert to speech. Supports emotion stage directions inside ***(say <style>: text)***: e.g. "***(say cheerfully: Hello!)***"
voiceNoVoice name to use. Default: "Kore". Available: Puck, Fenrir, Zephyr, Autonoe, Laomedeia, Sadachbia, Leda, Aoede, Charon, Rasalgethi, Kore, Orus, Alnilam, Erinome, Iapetus, Schedar, Pulcherrima, Sadaltager, Umbriel, Callirrhoe, Achird, Zubenelgenubi, Algieba, Despina, Enceladus, Algenib, Sulafat, Vindemiatrix, Achernar, GacruxKore
output_pathNoFile path to save audio. Defaults to a timestamped file in ~/.flowspeech-mcp/audio
Behavior3/5

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

With no annotations, the description carries the full burden. It mentions the return is a file path and the emotion syntax, but lacks disclosure of safety, authentication needs, or potential side effects (e.g., file creation). Basic functionality is covered.

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?

Two sentences with no wasted words. The first sentence describes the core action and features, the second specifies the output. Very efficient.

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 tool has 3 parameters, no output schema, and moderate complexity, the description covers the main points: what it does, the key feature (emotion control), and the return type. It could be more complete by noting the output format or any prerequisites, but is sufficient.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds value by providing an example of the emotion stage directions syntax, which goes beyond the schema's parameter descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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 with emotion control and 30+ voices, and returns a file path. However, it does not explicitly differentiate from the sibling tool 'flowspeech_tts_multi', leaving ambiguity about when to use each.

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 text-to-speech with emotion control, but does not provide when-to-use or when-not-to-use guidance relative to the sibling tool. No alternatives or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/waeckerlinfederowicz66-sketch/mcp-flowspeech-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server