Skip to main content
Glama

UGC Fans

Speak a line in a saved voice

ugcfans_make_speech

Speaks a line or a saved script in a saved voice and returns a job whose result links the audio. Spends a few of the account's credits. Without a quote the call prices the line first and, when the pipeline can price it, makes it; a voice that cannot be priced ahead cannot be made here. A cloned voice needs its owner's recorded consent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoThe words to speak.
quoteNoA quote for exactly this line, when you hold one.
speedNoHow fast, 0.5 to 1.5 (default 1).
voiceYesThe id of a saved voice, voice_...
scriptNoOr the id of a saved script to speak.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations only say this is non-read-only, non-idempotent, non-destructive. The description adds substantive behavior: it consumes account credits, it may price before making, it fails for unpriceable voices, and cloned voices require owner consent. That is meaningful disclosure beyond the structured hints, though job/polling semantics and failure modes remain thin.

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?

Four dense sentences with the core action front-loaded before the credit, pricing, and consent caveats. No filler, though the pricing sentence is compressed enough to require a second read.

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 usefully states that a job is returned and that the audio is linked from its result, and it flags the billing and consent requirements. It does not explain how to wait on or retrieve the job, which matters given the async job model shared across siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3, but the description adds behavior the schema does not: the quote parameter's role in skipping the pricing step and the consequence of omitting it, plus the constraint that an unpriceable voice cannot be rendered. It also implies text and script are alternate inputs rather than required together, which the schema leaves implicit.

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 and resource ("Speaks a line or a saved script in a saved voice") and goes further to describe the return ("returns a job whose result links the audio"). Speech synthesis is clearly distinct from every sibling (make_video, make_ad, write_script, etc.), so an agent can route to it without ambiguity.

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

Usage Guidelines4/5

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

Gives real conditional guidance: without a quote it prices first, and voices that cannot be priced ahead cannot be made here, plus the consent prerequisite for cloned voices. It stops short of naming an alternative (e.g., ugcfans_estimate for pre-pricing, ugcfans_get_job/ugcfans_wait_job for result retrieval), so usage is implied rather than fully routed.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.