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get_frame_at

Read-onlyIdempotent

Extract a single video frame at a specific timestamp from any video URL or local file, enabling inspection of critical moments identified by transcript analysis.

Instructions

Extract a single video frame at a specific timestamp.

Useful for inspecting what's on screen at a particular moment. The AI reads the transcript, identifies a critical moment, and requests the exact frame at that timestamp.

Supports: Loom (loom.com/share/...), YouTube/Vimeo/TikTok/Instagram/X/Twitch/Dailymotion/Facebook (requires yt-dlp), direct video URLs (.mp4, .webm, .mov), and local video files (absolute path or file:// URI).

Args:

  • url: Video source (URL or local path)

  • timestamp: Time position (e.g., "1:23", "0:05", "01:23:45")

Returns: A single image of the video frame at the specified timestamp.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesVideo source: Loom share link, platform video URL (YouTube, Vimeo, TikTok, Instagram, X, Twitch, Dailymotion, Facebook), direct .mp4/.webm/.mov URL, or absolute path to a local video file
timestampYesTimestamp to extract frame at (e.g., "1:23", "0:05", "01:23:45")
returnBase64NoReturn frame as base64 inline instead of file path
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint, so description adds context about supported video sources and return type (single image). 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?

Concise description with front-loaded main action, then usage context, then args list. No extraneous information.

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?

The tool has a simple return type (single image) and the description states it. Combined with clear annotations and full schema coverage, the description is complete enough for an agent to use 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 coverage is 100%, but description adds value by listing specific supported platforms for 'url' and giving timestamp format examples like '1:23'. This goes beyond the schema's generic description.

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 verb 'Extract' and resource 'single video frame at a specific timestamp'. Distinguishes from sibling tools like get_frame_burst (multiple frames) and get_frames.

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

Usage Guidelines4/5

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

Describes use case: inspecting screen at a particular moment, especially after reading transcript. Implicitly provides context but does not explicitly list when not to use or mention alternatives like get_frame_burst.

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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