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theYahia

@theyahia/yandex-speechkit-mcp

skill_transcribe

Transcribe audio into clean text. Provide base64-encoded audio, optionally specify language and format, to get accurate speech recognition results.

Instructions

High-level transcription skill. Returns clean text from audio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
audio_base64YesAudio data encoded as Base64
langNoLanguage (ru-RU, en-US, kk-KK)ru-RU
formatNoAudio format (oggopus, lpcm)oggopus
return_rawNoReturn raw API response instead of plain text
Behavior2/5

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

With no annotations, the description carries full burden but only states it returns clean text. It does not disclose behavioral traits such as authorization requirements, data handling, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise but under-specified. It uses vague language like 'high-level' and does not provide enough detail for effective tool selection.

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?

Given the tool has 4 parameters, no output schema, and sibling tools available, the description lacks information about output format, error handling, or constraints, making it incomplete.

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 coverage is 100%, so parameters are already documented. The description adds no extra meaning beyond the schema.

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 it transcribes audio to text with a specific verb and resource. However, it does not differentiate from the sibling 'recognize' tool, which may perform a similar function.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like 'recognize' or 'skill_synthesize'. The description lacks context about appropriate use cases or prerequisites.

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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