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Analyze and retain a video for follow-up questions

analyze_video

Analyzes any public video URL to produce a timestamped production breakdown covering shots, visual design, animation, motion, narration, music, sound effects, and editing, with follow-up Q&A support.

Instructions

Use whenever the user pastes a public video URL or asks for a visual, animation, movement, music, transcript, or shot-by-shot breakdown. A user-provided public URL is treated as authorized. Download it, ask Gemini for the requested analysis, then return video_id. Use ask_video with that video_id for every follow-up question; do not re-download it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoPublic http(s) URL for a video page or direct video file. Treat a user-provided URL as authorized for this request.
modeNoUse detailed for a full production brief, summary for concise notes, question for a targeted answer.detailed
questionNoQuestion to answer when mode is question.
file_pathNoAbsolute path of an existing local video file.
Behavior4/5

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

With no annotations, the description carries the transparency burden and discloses key behaviors: it downloads the video, sends it to Gemini, returns a video_id, and instructs the agent to reuse that ID instead of re-downloading. It also clarifies that a user-provided public URL is treated as authorized. However, it does not mention retention duration, deletion, or local-file handling, leaving some behavioral gaps.

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 three concise sentences that front-load the trigger conditions, then give the workflow and follow-up instruction. Every sentence earns its place, with no filler or repetition.

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?

The description gives a complete workflow for public URLs, including authorization, download, analysis, video_id return, and follow-up via ask_video. It is slightly incomplete because it never mentions the file_path local-video path from the schema, nor does it explain retention or deletion semantics beyond 'do not re-download.'

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 the parameter descriptions already explain url, mode, question, and file_path. The tool description adds little beyond the schema, mostly repeating the URL authorization note already present in the schema. Baseline of 3 is appropriate because the schema does the heavy lifting.

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 states exactly what the tool does: analyze a public video URL and retain it for follow-up, with a specific verb and resource. It also distinguishes the tool from siblings like ask_video by explicitly reserving follow-up questions for ask_video, and from download_video by noting the download is a means to analysis.

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?

It says 'Use whenever the user pastes a public video URL or asks for a visual, animation, movement, music, transcript, or shot-by-shot breakdown,' giving clear trigger conditions. It also explicitly instructs to use ask_video for every follow-up and not to re-download, thereby naming the alternative and exclusion.

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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