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hermoso-ai

Hermoso

Official

Change narrator voice

change_voice

Swap the narration of a finished video into a different voice while preserving performance, lip-sync, and background sound. Use when the video is liked but the narrator voice needs changing.

Instructions

Swap the narration of a finished video into a different voice — keeps the performance, lip-sync, and background sound. Use when the user likes the video but wants a different narrator voice; use dub_video only for language translation. Paid; returns the served URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
videoYesthe source video URL
voiceNotarget narrator voice preset name, e.g. 'Aria', 'George', 'Rachel', 'Sarah', 'Brian', 'Charlotte' (defaults to a warm female read). A saved VOICE CLONE of the user's own voice counts as a preset here — name it the way it is saved on their cast

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.1.209
    • changedInput schema / properties / voice / description
      Previous value: -"target narrator voice preset name, e.g. 'Aria', 'George', 'Rachel', 'Sarah', 'Brian', 'Charlotte' (defaults to a warm female read)"New value: +"target narrator voice preset name, e.g. 'Aria', 'George', 'Rachel', 'Sarah', 'Brian', 'Charlotte' (defaults to a warm female read). A saved VOICE CLONE of the user's own voice counts as a preset here — name it the way it is saved on their cast"
  2. Changed1 schema field changedv0.1.161
    • changedOutput schema / (root)
      Previous value: -{
      -  "$schema": "http://json-schema.org/draft-07/schema#",
      -  "additionalProperties": false,
      -  "properties": {
      -    "jobId": {
      -      "description": "the render job id — poll get_job with this id to resume or inspect",
      -      "type": "string"
      -    },
      -    "model": {
      -      "anyOf": [
      -        {
      -          "type": "string"
      -        },
      -        {
      -          "type": "null"
      -        }
      -      ],
      -      "description": "the product-facing label of the model that rendered it"
      -    },
      -    "raw": {
      -      "description": "the raw job result payload (e.g. images[] for carousel template ads)"
      -    },
      -    "stillRendering": {
      -      "description": "true when the render is still in progress — keep polling get_job with jobId",
      -      "type": "boolean"
      -    },
      -    "url": {
      -      "anyOf": [
      -        {
      -          "type": "string"
      -        },
      -        {
      -          "type": "null"
      -        }
      -      ],
      -      "description": "the served URL of the finished media (absent/null while still rendering)"
      -    }
      -  },
      -  "type": "object"
      -}New value: +null
  3. First observedv0.1.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations declare it is not read-only, open-world, not idempotent, and not destructive. The description adds behavior beyond annotations: it preserves performance, lip-sync, and background sound, notes it is paid, and says it returns the served URL. It does not mention permission or billing amount details, but the added context is meaningful.

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 zero waste. The main operation and preservation behavior are front-loaded, followed by routing guidance and a brief return note.

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?

With no output schema, the description explains the return value as the served URL. It also covers preservation behavior and cost status. Missing details such as credit amount or processing time are minor for a tool whose annotations and schema are otherwise complete.

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%, and the schema already documents both parameters thoroughly, including default voice behavior and voice-clone naming. The description adds no further syntax or format detail beyond what the schema provides, so baseline 3 applies.

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 a specific verb and resource: swapping narration of a finished video into a different voice. It also distinguishes the operation from sibling dub_video, which is reserved for translation.

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?

It gives explicit usage conditions: 'Use when the user likes the video but wants a different narrator voice' and directs language translation to dub_video. No inference is needed to choose between them.

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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