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theYahia

@theyahia/yandex-speechkit-mcp

skill_synthesize

Convert text to speech with automatic language detection and smart voice defaults. Choose voice, format, and output spoken audio.

Instructions

High-level speech synthesis skill. Smart voice defaults, auto-detects language.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to speak (max 5000 chars)
voiceNoVoice namefilipp
langNoLanguage — auto-detected from voice if omitted
formatNoOutput format (mp3, oggopus, lpcm)mp3
Behavior3/5

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

With no annotations, the description discloses 'smart voice defaults' and 'auto-detects language' but omits details like the default voice name, error handling, or response format. The schema covers constraints like max text length, which the description misses.

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 very concise (one sentence) and front-loads key features. It is efficient but could be structured with separate aspects for clarity.

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 4 parameters, no output schema, and no annotations, the description lacks details on return values, error handling, and how this 'skill' differs from the sibling 'synthesize'. It is incomplete for an agent to fully understand tool behavior.

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% with descriptions for each parameter. The description adds context by explaining smart defaults for 'voice' and auto-detection for 'lang', augmenting the schema information meaningfully.

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's a 'high-level speech synthesis skill' with smart defaults and auto-detection, distinguishing it from a lower-level 'synthesize' sibling. However, 'skill' is vague without further explanation.

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 explicit guidance on when to use this tool versus siblings like 'synthesize' or 'list_voices'. The description implies use when defaults are desired, but does not state alternatives or exclusions.

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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