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benitomartin

Gmail Telegram MCP Server

by benitomartin

tts_instagram_audio

Convert text to speech for Instagram audio messages. Specify text, voice name, and language to generate audio suitable for Instagram posts or messages.

Instructions

Convert text to speech for Instagram audio messages.

Input Schema

NameRequiredDescriptionDefault
textYes
voice_nameNoen-US-Chirp3-HD-Aoede
language_codeNoen-US

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does not disclose output audio format/handling, permission or auth needs, rate limits, length caps, or whether it posts/sends to Instagram. The output schema helps with return values, but behavioral traits remain largely undisclosed.

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?

One front-loaded sentence with no filler or wasted words. It is appropriately concise for a simple TTS tool, though its brevity contributes to missing detail elsewhere.

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?

For a low-complexity TTS tool with an output schema, the purpose is stated, but with no annotations and 0% schema parameter descriptions, the definition is incomplete. An agent lacks parameter guidance and behavioral context needed to call it optimally.

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

Parameters1/5

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 and it does not. It mentions no parameter meaning, defaults, voice-name format, or language-code values, leaving voice_name and language_code unexplained.

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?

States a specific verb ('Convert text to speech') and resource/context ('Instagram audio messages'). The purpose is clear, but it does not differentiate from other possible TTS siblings; the only listed sibling is unrelated.

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 phrase 'for Instagram audio messages' implies the intended context, but the description gives no explicit when-to-use guidance, alternatives, prerequisites, or exclusions. Usage is only implied.

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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