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avicuna

Screen Vision MCP Server

by avicuna

analyze_video

Analyze local video files by extracting frames and metadata. Specify start and end times to focus on specific segments.

Instructions

Analyze a local video file.

Args: file_path: Path to the video file start_time: Start time in seconds (default: 0) end_time: End time in seconds (default: None = entire video) max_frames: Maximum number of frames to extract (default: 20)

Returns: JSON string with extracted frames and metadata

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_timeNo
file_pathYes
max_framesNo
start_timeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description must disclose behavior. It explains the tool extracts frames and returns JSON with metadata, and that max_frames limits extraction. However, it does not discuss performance, file format support, or potential side effects.

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 a concise docstring with a clear purpose line, followed by structured Args and Returns sections. 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?

The description covers the essential aspects: arguments, return format, and defaults. Given the presence of an output schema (implied), the return description is sufficient. However, it lacks details on supported video formats or file accessibility prerequisites.

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 description coverage is 0%, so the description compensates by explaining each parameter: file_path is the path, start_time/end_time in seconds, max_frames as limit. Defaults are mentioned. This adds valuable meaning beyond the schema's basic type information.

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 the tool analyzes a local video file and extracts frames and metadata. It distinguishes from siblings like 'analyze_image' and capture tools by specifying 'video file' and the extraction process.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'analyze_image' or 'capture_screen'. It does not mention prerequisites or when not to use it.

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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