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RyuMoon Data Tools

youtube_transcript

youtube_transcript

YouTube transcript: full captions/subtitles for one video as clean plain text plus timestamped segments, title, channel, duration and language, with language fallback and translation. Charged only on success. Price: $0.004 USDC on Base via x402.

Input Schema

NameRequiredDescriptionDefault
langNoPreferred caption languages, comma-separated, e.g. en,es
videoYesYouTube URL or 11-character video ID
translateNoTranslate captions to this language code
timestampsNoInclude timestamped segments (default true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does a fair job: it discloses the billing model (charged only on success, $0.004 USDC on Base via x402), the language-fallback behavior, and that timestamps default to on. It does not cover failure modes such as disabled/unavailable captions, which is the main remaining gap.

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 dense sentences, front-loaded with what the tool returns before the commercial terms. Every clause conveys distinct information — output shape, fallback/translation behavior, billing — with no filler.

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?

There is no output schema, so the description correctly takes on the job of describing the return payload (text plus segments, title, channel, duration, language), which makes the tool callable without guesswork. Only failure behavior for videos lacking captions is unaddressed.

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%, so all four parameters are already documented in the schema, including the timestamps default of true. The description adds marginal value only through the 'language fallback' notion, which hints at how lang behaves when the preferred language is missing; it adds nothing about video format or translate interaction.

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?

Names the specific resource (a YouTube video's captions) and enumerates exactly what comes back: clean plain text, timestamped segments, title, channel, duration and language. The scope ('one video') is explicit, and no sibling tool (contacts, markdown, metadata, sitemap, telegram_search) overlaps, so no differentiation is needed.

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 one-video scope and the language/translation options imply when this tool applies, but there is no explicit when-to-use or when-not-to-use statement and no named alternative. It is adequate but leaves the agent to infer usage context.

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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