Skip to main content
Glama

MiMo TTS - preset voice

text_to_speech

Synthesize speech or song from text using MiMo voices and audio tags, then save the audio file and return its path, byte size, and duration.

Instructions

Synthesize speech with Xiaomi MiMo mimo-v2.5-tts using one of the built-in voices. Supports singing via a leading (唱歌) tag, and fine-grained audio tags inside the text. Writes the audio to a file and returns its path, byte size, and duration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to speak. Add a leading style tag such as (怅然) or (唱歌) and inline tags such as [轻笑] or [长叹一口气] to steer delivery. Keep it within a few thousand characters (8K token context).
voiceNoPreset voice id: mimo_default, 冰糖, 茉莉, 苏打, 白桦, Mia, Chloe, Milo, Dean. Chinese voices: mimo_default, 冰糖, 茉莉, 苏打, 白桦; English: Mia, Chloe, Milo, Dean.mimo_default
formatNoOutput container. wav is lossless and takes the low-latency streaming path; mp3 is smaller.wav
file_nameNoBase name used when output_path is omitted, e.g. "greeting".
output_pathNoWhere to write the audio file. Must stay inside MIMO_TTS_OUTPUT_DIR (~/mimo-tts) unless the server sets MIMO_TTS_ALLOW_ANY_PATH. A relative path resolves against the server process cwd. Existing files are never overwritten; a -2, -3 suffix is added instead.
instructionsNoNatural-language style direction, sent as the user message. Describe emotion, pace, character, scene, or a director-style brief (角色/场景/指导). Audio tags such as (怅然) or [轻笑] belong in the spoken text instead.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description does the work: it discloses the side effect (writes an audio file), the return payload (path, byte size, duration), and the path constraints are further covered in the output_path schema. It omits auth/permission needs and rate limits, which is a modest gap for a mutation-with-artifact tool.

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?

Three tight sentences with the core capability front-loaded and capabilities/return value following. No filler, though the singing and tag details could arguably merge into one clause.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 6-parameter tool with full schema coverage and no output schema, the description supplies the missing return-value summary (file path, size, duration) and the write side effect. Nothing critical is absent, though it says nothing about latency, cost, or error behavior.

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 voice, format, file_name, output_path and instructions thoroughly. The description's tag/singing note restates what text's schema description already says, so it adds little beyond the structured fields.

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 and resource ("Synthesize speech with Xiaomi MiMo mimo-v2.5-tts") and narrows scope to "built-in voices", which implicitly separates it from design_voice_to_speech and clone_voice_to_speech. It stops short of naming those siblings outright, so the differentiation is inferable rather than explicit.

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 mention of "built-in voices" and the singing/tag capabilities implies when this tool is the right pick versus voice design or cloning, but no alternative is named and no exclusion is stated. Usage is inferable from context rather than spelled out.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.