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youtube_shorts

YouTube Shorts & Transcript Scraper: Trigger: Call this tool when an agent needs video transcripts, metadata, view counts, and audio info from short-form YouTube videos. Input: 'query' (search string), 'limit' (integer, default 10). Output: structured video details and full spoken transcripts. (x402 M2M Cost: 0.008 USDC on Base)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoInput parameter for limit (e.g. 10)
queryNoInput parameter for query (e.g. "coding tutorials")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full disclosure burden. It usefully surfaces that this is a paid x402 M2M tool (0.008 USDC on Base) and describes the return payload, but omits rate limits, pagination, error behavior, and what happens when a query yields no results.

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-loaded with a purpose statement and then cleanly labeled Trigger/Input/Output sections, with the cost parenthetical at the end. Dense but efficient; no filler sentences.

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 simple two-parameter scraper with no output schema, the description covers trigger, inputs, and the shape of the return payload, and flags the payment requirement. What remains missing is mostly pagination/limit interaction and failure behavior.

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 'query' (search string) and 'limit' (integer, default 10), adding only the default value of 10, which the schema does not state — a marginal gain over structured data.

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?

States a specific verb and resource (scrape YouTube Shorts) plus the concrete data it returns (transcripts, metadata, view counts, audio). The 'short-form YouTube videos' scope distinguishes it from the other platform scrapers (tiktok_scraper, instagram_scraper), though it never names them explicitly.

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?

The 'Trigger:' sentence gives clear when-to-use context: when an agent needs transcripts/metadata/view counts from short-form YouTube videos. It does not, however, state when NOT to use it or point to a specific alternative sibling for other platforms or long-form video.

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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