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List YT Popular

list_yt_popular
Read-onlyIdempotent

[read] The most popular YouTube videos of one country right now (YouTube Data API v3, through the merchant's Google account). region is a two letter country code (TR, US ...), language the language of the titles (tr, en ...), category an optional YouTube category id (10 is music). Answers videos (at most count, up to 50: video_id, title, channel_title, published_at, view_count, like_count, comment_count, url). One call is one priced read.

Input Schema

NameRequiredDescriptionDefault
countNo
regionNoTR
categoryNo
languageNotr

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?

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the bar is lower; the description still adds real value by disclosing that calls are billed ("one call is one priced read"), that access runs through the merchant's Google account, and that results cap at 50. It stops short of describing pagination or freshness semantics.

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?

Dense but front-loaded — the core action, parameter semantics, and return shape each occupy one clause, with zero filler sentences. The bracketed [read] tag and parenthetical field list keep it scannable.

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

Completeness5/5

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

With no output schema, the description supplies the returned object's fields (video_id, title, channel_title, published_at, view_count, like_count, comment_count, url) and its size bound, plus account and billing context. An agent has everything needed to call this correctly.

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 description coverage is 0%, so the description must carry parameter meaning and largely does: region is a two-letter country code, language governs title language, category is an optional YouTube category id (10 = music), and count is capped at 50. Minor gap: default values (TR, tr, 25) and the expected format of "now" are not restated.

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 opens with a specific verb and resource ("The most popular YouTube videos of one country right now") and names the underlying API and account context, so the agent immediately knows what it retrieves. It doesn't explicitly contrast itself with near-siblings like search_yt_trends or yt_insights_channel, which keeps it from a 5.

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?

Usage context is implied by "right now" and "one country" plus per-parameter examples (TR/US, tr/en), but there is no explicit statement of when to prefer this over search_yt_trends or list_rd_popular. The "one call is one priced read" note is a useful cost cue but not usage guidance.

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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