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analyze_short

Read-only

Analyze YouTube Shorts to extract hook timing, CTA patterns, words-per-second, hashtags, and visual frame. Use this specialized analysis for videos under 60 seconds instead of general video tools.

Instructions

SHORTS-SPECIFIC TOOL: Specialized analysis for YouTube Shorts (<60 sec). Extracts hook timing, CTA patterns, words-per-second, hashtags, + visual frame. Use this instead of deep_analyze_video for Shorts. COMBINE WITH: get_shorts (API) to find Shorts from a channel first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
videoIdYesYouTube Short video ID or URL
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds behavioral context by specifying the analysis extracts hook timing, CTA patterns, etc., and notes the video must be a Short. No contradictions.

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?

Two sentences plus a bullet point. Front-loaded with 'SHORTS-SPECIFIC TOOL'. Every sentence adds value, no redundancy.

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 single-parameter tool, the description provides purpose, usage, and output details. Lacks explicit mention of return format but the listed extraction items give sufficient context. Could be improved with a brief note on response structure.

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 coverage is 100% with a single parameter videoId. Description adds value by clarifying that the video ID must be for a Short, which is not explicit in the schema description. However, it doesn't elaborate on format or validation rules.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it's for YouTube Shorts (<60 sec) and lists specific analysis outputs (hook timing, CTA patterns, words-per-second, hashtags, visual frame). Differentiates from sibling deep_analyze_video by instructing to use this instead for Shorts.

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

Usage Guidelines5/5

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

Explicitly says 'Use this instead of deep_analyze_video for Shorts' and provides a complementary tool (get_shorts) for discovery. Provides clear when-to-use and when-not-to-use 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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