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get_video_frames

Read-only

Extract visual frames from a YouTube video at regular intervals to analyze content without relying on captions. Combine with transcripts for comprehensive text+visual understanding.

Instructions

Get visual frames/screenshots from a video at regular intervals. Use this to understand video content visually, especially for videos without captions (gameplay, music, documentaries). COMBINE WITH: get_transcript for text+visual analysis. For a specific timestamp, use get_video_moment instead (gets frame + transcript together). For a full timeline view, use video_timeline.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
videoIdYesYouTube video ID or URL
countNoNumber of frames to extract (1-10)
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description adds value by explaining the 'regular intervals' behavior and use-case context. No contradictions, but could disclose more about output format or limits.

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?

The description is concise with 4 sentences, front-loaded with purpose, then usage guidelines, then alternatives. Every sentence adds value with no wasted words.

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?

Given no output schema, the description explains what is returned (visual frames/screenshots). It covers purpose, usage, alternatives, and combinations, which is complete for a tool with 2 parameters.

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?

Input schema covers both parameters (videoId, count) with descriptions, achieving 100% coverage. The description does not add significant new meaning beyond the schema, so baseline score of 3 is appropriate.

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?

The description clearly states 'Get visual frames/screenshots from a video at regular intervals' with a specific verb and resource. It distinguishes from siblings by mentioning alternatives like get_video_moment and video_timeline.

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 states when to use ('understand video content visually, especially for videos without captions') and provides both alternatives (get_video_moment, video_timeline) and a combination suggestion (get_transcript for text+visual analysis).

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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