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Synthesize a script to speech, return audio URL

synthesize_voiceover

Generates a voiceover from text using Paradise Modern's speech engine (Qwen3-TTS). Audio uploaded to Spaces, signed URL returned (24h TTL by default). Charged in credits based on script length (use quote_voiceover for a preview). Best for demo-video narration, tutorial audio, and any one-shot batch TTS. NOT a real-time conversational voice. Voice options: pass voiceId for a specific Paradise Modern / Canon voice, or omit to use the deployment's default narrator.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesScript text to read aloud. Max 5000 chars per call; split longer scripts.
voiceIdNoParadise Modern / Canon voice id. Omit to use the deployment's default narrator.
descriptionNoOptional prosody hint, e.g. "warm and conversational". Accepted for compatibility; the current speech engine does not use it.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool result payload (JSON object)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / description / description
      Previous value: -"Optional prosody steering, e.g. \"warm and conversational, slight pause before the punchline\". Biases delivery without changing the script."New value: +"Optional prosody hint, e.g. \"warm and conversational\". Accepted for compatibility; the current speech engine does not use it."
    • changedInput schema / properties / voiceId / description
      Previous value: -"Hume voice id. Omit to use the deployment's default narrator."New value: +"Paradise Modern / Canon voice id. Omit to use the deployment's default narrator."
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnly=false, idempotent=false, openWorld=true, destructive=false), and the description adds value beyond them: credit charging tied to script length, audio upload to Spaces with a signed URL and 24h TTL. It does not state failure modes, rate limits, or what happens when the character limit is exceeded, so it falls short of a 5.

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?

Front-loads what the tool does, then when to use it, then exclusions, then parameter hints — a sensible order with no filler sentences. Slightly redundant since the voice-selection sentence duplicates the voiceId schema description, but nothing is wasted at the sentence level.

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

Completeness5/5

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

An output schema exists, so return values need no prose, yet the description still flags the signed URL and its TTL. Combined with cost behavior, scope, and the non-realtime exclusion, an agent has everything needed to select and invoke this tool correctly.

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 baseline is 3. The description restates voiceId behavior (pass an id or omit for the default narrator) and the free-form nature of text, but adds no syntax, format, or limits beyond what the schema already declares, including the 5000-char cap and the no-op 'description' param.

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?

States a specific verb+resource ("Generates a voiceover from text") and names the underlying engine (Paradise Modern, Qwen3-TTS), which an agent could not infer from the name alone. It also distinguishes itself from the sibling quote_voiceover and from real-time conversational TTS, so the agent can route correctly without opening a schema.

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?

Gives concrete when-to-use cases (demo-video narration, tutorial audio, one-shot batch TTS), an explicit when-NOT ("NOT a real-time conversational voice"), and names the alternative tool for cost preview ("use quote_voiceover for a preview"). Both the alternative and the selecting condition are stated, not implied.

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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