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x402vid AI Intelligence & Channel Growth for YouTube Videos

Shorts Intelligence

shorts_intelligence
Read-only

YouTube Shorts intelligence: hooks, pacing, breakout patterns.

Top Shorts by views for a topic, analyzed for opening hooks, pacing, and repeatable formats a new creator can copy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
x_paymentNoBase64 x402 payment payload (required — pass the X-PAYMENT value as an argument over MCP)
num_videosNoShorts to sample (default 8, max 12)
search_termYesTopic to find breakout Shorts for

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the read-only safety profile is covered. The description adds that the tool analyzes hooks, pacing, and formats, but it does not disclose additional operational behavior such as payment handling, rate limits, or what the returned analysis looks like. No contradiction with annotations.

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?

The description is compact and front-loaded, with the key idea in the first line and a clarifying sentence after it. The first clause is slightly redundant with the second, but overall it is scannable and free of unnecessary detail.

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?

Given the presence of an output schema, full schema descriptions, and read-only annotations, the description supplies enough context: input is a topic, selection is by views, and output focuses on copyable Shorts patterns. It lacks explicit sibling routing, but the structured metadata covers most operational details.

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 all parameters—search_term, num_videos, and x_payment—are already individually documented. The description only echoes 'topic' as a synonym for search_term and does not meaningfully enrich parameter understanding.

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 identifies a specific resource (YouTube Shorts for a topic) and a concrete analysis goal: opening hooks, pacing, and repeatable formats. It also hints at the selection logic ('Top Shorts by views') and the intended audience ('a new creator can copy'), which separates it from sibling tools like shorts_to_script or get_video_intelligence, though it does not name those alternatives.

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 description conveys the intended scenario: a creator researching a topic to find copyable Shorts formats. However, it never explicitly states when to prefer this tool over related siblings such as shorts_to_script, trending_on_youtube, or get_video_intelligence, and gives no exclusions.

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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