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YouTube Trending Shorts

social_youtube_shorts_trending
Read-only

Fetches approximately 48 currently trending YouTube Shorts (viral/popular short-form videos) per call, returning each short's title, URL, thumbnail, view count (views), like count (likes), comment count, publish date, channel info, keywords, and duration. Each subsequent call returns a fresh batch of different trending shorts. Completed lookups cost at least 10 Nexscope credits. Actual cost depends on the operation and requested options. Repeated requests may purchase data again. YouTube Trending Shorts API View Pricing Get about 48 trending Shorts per request. Repeated requests can return new Shorts. 1 credit per request Actual supplier units are reported per request. Examples are not guaranteed prices.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Beyond the annotations (which already declare readOnly/openWorld/non-destructive), it discloses concrete behavior: batch size (~48), non-idempotence (each call yields different Shorts and re-purchases data), and credit cost. The only weakness is the internally inconsistent pricing ('at least 10 Nexscope credits' vs '1 credit per request'), which muddies an otherwise informative disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening two sentences are front-loaded and effective, but the remainder repeats supplier pricing boilerplate three times ('View Pricing', '1 credit per request', 'Actual supplier units are reported per request') and directly conflicts with the earlier 10-credit statement. Roughly half the text is duplicated marketing copy that adds noise rather than information.

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?

With no output schema, the description carries the return-value burden and does so by enumerating the fields returned (title, URL, thumbnail, views, likes, comments, publish date, channel, keywords, duration). Cost and batch-refresh behavior are covered; only geo/region scoping and rate limits are left unspecified.

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 tool has zero parameters and an empty schema, so there is nothing for the description to disambiguate; baseline 4 applies. It correctly does not invent parameter semantics that don't exist.

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 ('Fetches ... trending YouTube Shorts') plus a precise scope (~48 per call, viral/popular short-form). It is distinguishable from siblings like social_youtube_channel_shorts by the 'trending' framing, though it never explicitly contrasts itself with them.

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 only implied: the tool takes no arguments, so it reads as a fire-and-forget trending feed. The note that 'each subsequent call returns a fresh batch' and that 'repeated requests may purchase data again' is useful operational guidance, but there is no explicit when-to-use/when-not or comparison with alternative shorts/video endpoints.

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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