RYLA

ryla_generate_voice

Generate speech audio (TTS) in an existing character's voice. Character must already exist; use ryla_list_characters to find a characterId.

Input Schema

TableJSON Schema

Name	Required	Description
`text`	Yes	Text to convert to speech (max 1000 chars)
`speed`	No	Speech speed multiplier, 0.5-2.0
`gender`	No	Character gender, to pick a default voice when voiceIdentityId is absent
`emotion`	No	Emotion style for the voice
`characterId`	Yes	Character UUID
`voiceIdentityId`	No	Specific voice identity id, if known (otherwise the character default is used)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

First observedSep 6, 2026

TDQS

A4/5.0

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully reveals that the character must already exist and that the output is speech audio (TTS). However, it does not disclose whether generation is asynchronous, whether the result needs polling via ryla_generation_status, how credits are consumed, or what the actual return payload looks like.

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?

Two sentences with no filler. The primary purpose is front-loaded, and the second sentence delivers the only critical prerequisite and sibling routing needed. Every word earns its place.

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?

With no output schema and no annotations, the description must explain the full call flow. It explains what to do before the call, but never says what the tool returns or how to retrieve the generated audio. The omission is significant given that the sibling ryla_generation_status strongly suggests an asynchronous generation workflow.

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 description coverage is 100%, so the schema already documents all six parameters in detail. The description only reinforces the importance of characterId by pointing to ryla_list_characters; it does not add semantic meaning beyond what the schema provides.

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?

The description states the specific action ('Generate speech audio (TTS)') and the exact resource ('in an existing character's voice'). This clearly differentiates it from the sibling generation tools such as ryla_generate_image, ryla_generate_video, and ryla_generate_face_swap, which all target different modalities.

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

Usage Guidelines5/5

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

The description explicitly states a prerequisite ('Character must already exist') and directly names the sibling tool to use when that prerequisite is unmet ('use ryla_list_characters to find a characterId'). This gives the agent concrete routing 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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TDQS

A3.7/5.0

Disambiguation4/5

Most tools map to a distinct generation type or resource, and the ryla_generate_* family is easy to partition by output type. The main ambiguity is ryla_generate_base_image vs ryla_generate_image, but the description for ryla_generate_image explicitly positions it as the primary Studio tool and clarifies the required characterId.

Naming Consistency4/5

The ryla_ prefix and snake_case are applied consistently, and generate_* forms a clear pattern for most action tools. A few names deviate from the verb_noun pattern (ryla_generation_status, ryla_server_info, ryla_account_credits_balance), but they are still predictable.

Tool Count5/5

At 11 tools, the set is well-scoped for a media generation server: generation types, status polling, account checks, and character lookup are each covered. The count supports the domain without feeling bloated.

Completeness3/5

The generation lifecycle is well-covered: jobs can be submitted, polled, status checked, and outputs viewed via the gallery. However, character management is almost entirely absent: there is no way to create, update, or delete a character through the MCP, and the list_characters description explicitly pushes creation to the external app, leaving a notable workflow gap.

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