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yuppie1949

yuppie-mcp-tts

by yuppie1949

text_to_speech_file

Converts text to speech and saves the audio as an MP3 file to disk using Microsoft Edge's free TTS engine. Supports multiple voices and speed adjustment.

Instructions

将文字转换为语音并保存为 MP3 文件到磁盘。无需 API Key。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
speedNo
voiceNoen-US-JennyNeural
output_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations indicate readOnlyHint=false, destructiveHint=false, etc. The description adds that no API key is required, which is a behavioral trait not in annotations. It also discloses the side effect of file saving. However, does not specify if the file is overwritten or appended, or other behavior.

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 sentence, front-loaded with key info (conversion, file saving, no API key). No wasted words. However, it could be structured with bullet points for parameters to improve scannability.

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?

Despite having an output schema and only 4 parameters, the description lacks details on return value, file format confirmation, limits on text length, supported languages, or error handling. Given it writes to disk, more completeness is expected.

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 0%, so the description must compensate. It does not explain any parameter—like what 'speed' or 'voice' mean or acceptable values. The agent must rely on parameter names and defaults, which is insufficient for correct usage.

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?

Description clearly states the tool converts text to speech and saves as MP3 file to disk, with no API key needed. It distinguishes itself from siblings 'list_voices' and 'text_to_speech' by specifying file saving.

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 includes a useful prerequisite (no API key needed) but does not explicitly tell when to use this tool over the sibling 'text_to_speech' which likely provides audio without saving. Implicitly, use this for persistent file output, but lacking 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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