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video_batch_analyze

Read-onlyIdempotent

Analyze every video file in a directory simultaneously, applying a single instruction to each using concurrent AI calls.

Instructions

Analyze all video files in a directory concurrently.

Scans the directory for supported video files (mp4, webm, mov, avi, mkv, mpeg, wmv, 3gpp), then analyzes each with the given instruction using bounded concurrency (3 parallel Gemini calls).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
directoryYesPath to a directory containing video files
instructionNoWhat to analyze in each videoProvide a comprehensive analysis of this video.
glob_patternNoGlob pattern to filter files within the directory*
output_schemaNoOptional JSON Schema for each video's response
thinking_levelNoGemini thinking depth.high
max_filesNoMaximum files to process

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint. The description adds valuable behavioral context: directory scanning, supported formats, bounded concurrency (3 parallel calls). 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: first front-loads core purpose, second provides details. Every sentence is essential; no redundancy or waste.

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?

With good schema coverage, annotations, and an output schema, the description covers directory scanning, format support, and concurrency. It lacks error handling or prerequisites but is generally complete for an agent.

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 has 100% description coverage for all parameters. The description does not add significant meaning beyond what the schema already provides, meeting baseline expectations.

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?

Description clearly states it analyzes all video files in a directory concurrently, listing supported formats. It distinguishes from siblings like 'video_analyze' (single video) and 'content_batch_analyze' (other content types), providing specific verb and resource.

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 implies usage for batch video analysis with concurrency, but lacks explicit guidance on when to use this vs. alternatives. No direct comparison to single-video or other batch tools is provided.

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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