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katto_dub_clip

Re-render a finished clip with dialogue dubbed into one or more of 8 languages, including English, Spanish, French, and more. Returns a rerender ID to track progress without using video quota.

Instructions

Re-render one finished clip dubbed into one or more of 8 languages (en, es, fr, it, pt, hi, ja, zh). Free — does NOT use video quota. Each call starts a new render (not idempotent). Returns a rerender_id; poll katto_get_rerender for the result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesJob id.
languagesYes
clip_indexYes0-based clip index.

Schema Changelog

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

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With annotations that are all negative hints (readOnly/openWorld/idempotent/destructive all false), the description carries the behavioral burden — and it delivers: it discloses that the operation is free and does NOT use video quota, that each call starts a fresh render (elaborating idempotentHint=false), and that the caller must poll katto_get_rerender for the result. No contradiction with annotations; the description adds genuine context beyond the structured hints.

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 compact sentences, each contributing a distinct fact: purpose and languages, cost/quota behavior, non-idempotency, and the poll-for-result contract. There is minor redundancy — the language list echoes the schema enum and '(not idempotent)' restates idempotentHint=false — but overall the description is tight and front-loaded with the core purpose.

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 3-parameter, all-required, async tool with no output schema, the description covers the essential call flow an agent cannot infer: the call returns a rerender_id and requires polling katto_get_rerender, and it consumes no video quota. The main gap is the unaddressed relationship with the closely named katto_rerender_clip, leaving a selection ambiguity for the agent.

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?

The schema documents id ('Job id') and clip_index ('0-based clip index') but leaves languages with only an enum and no prose. The description compensates by enumerating the 8 languages and specifying 'one or more,' and it adds meaning to the other parameters by establishing that they refer to a finished clip. At 67% schema coverage, the description bridges the gap in the least-documented parameter.

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?

The description states a specific action — re-rendering a finished clip with a dub in one or more of 8 named languages — and adds distinctive constraints (free, not idempotent, returns rerender_id). This clearly identifies the tool's job, though it stops short of explicitly contrasting with the sibling katto_rerender_clip, so sibling differentiation is by implication rather than by name.

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 phrase 'one finished clip' implies a precondition: the tool operates only on completed clips, which gives the agent some usage context. However, the description never states when to prefer this over katto_rerender_clip or katto_create_clip_job, nor does it name alternatives or exclusions — the key sibling distinction is left to inference.

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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