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youtube_transcript

Read-only

A YouTube video's captions as text, with timestamps. (1 credit)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "youtube_transcript"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesYouTube video or Short URL.
languageNoPreferred language code, e.g. en.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

The annotations already establish readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuinely useful context beyond that: the return is timestamped text and the call costs 1 credit, which matters for a metered API. It omits failure behavior (no captions, private/region-locked video, language fallback), which is the main remaining behavioral gap.

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?

Two short fragments with zero filler; the resource and output format are front-loaded. It borders on under-specified rather than verbose, so the terseness costs it a point rather than earning a 5.

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

Completeness3/5

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

Given a simple 2-parameter read tool with full schema coverage, rich annotations, and no output schema, the definition covers what is returned at a high level. It is incomplete on the operational details an agent needs for reliable invocation: caption availability, language fallback, and error cases.

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 both parameters (url and language) are already documented in the schema and the baseline applies. The description contributes nothing parameter-specific, such as whether language falls back or what default is used when it's omitted.

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 names a specific resource and output shape: a YouTube video's captions rendered as timestamped text. It is immediately distinguishable from the sibling youtube_video (metadata) and from the cross-platform instagram_transcript / tiktok_transcript tools. It stops short of 5 because there is no explicit verb (retrieve/fetch) and no explicit sibling comparison.

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

Usage Guidelines2/5

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

There is no guidance on when to pick this over youtube_video or youtube_download, no prerequisites about the video needing to be public or caption-enabled, and no note on what happens when the requested language is unavailable. Usage is only inferable from the tool name and the 'Preferred language' phrasing.

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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