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yuiseki

Edge-TTS MCP Server

list_voices

Retrieve available text-to-speech voices for the Edge-TTS server, optionally filtered by language or region to select appropriate voice options.

Instructions

Get a list of available voices

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoOptional locale to filter voices (e.g., ja-JP, en-US)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states what the tool does but doesn't disclose behavioral traits like whether it's read-only, requires authentication, has rate limits, returns paginated results, or what format the list is in. This leaves significant gaps for an agent to understand how to interact with it.

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?

The description is a single, clear sentence with zero wasted words. It's appropriately sized for a simple tool and front-loaded with the essential information, making it easy to parse quickly.

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 no annotations, no output schema, and a simple input schema, the description is incomplete. It doesn't explain what the list contains (e.g., voice names, IDs, properties), how results are structured, or any behavioral aspects. For a tool that returns data, more context is needed to use it effectively.

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?

The schema description coverage is 100%, with the single parameter 'locale' documented in the schema. The description doesn't add any meaning beyond what the schema provides (e.g., it doesn't explain what happens if locale is omitted or provide examples beyond those in the schema). Baseline 3 is appropriate when the schema does the heavy lifting.

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 action ('Get a list') and resource ('available voices'), making the purpose immediately understandable. It doesn't differentiate from its sibling 'text_to_speech' tool, which performs a different function (synthesis vs listing), so it doesn't reach the highest score for sibling differentiation.

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?

The description provides no guidance on when to use this tool versus alternatives or in what context. While the sibling tool 'text_to_speech' is clearly for a different purpose, there's no explicit mention of when to use list_voices (e.g., for voice selection before synthesis) or any 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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