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glitch_macroblocking

Apply macroblocking glitch effect to simulate codec artifacting through blocky pixelation and color posterization.

Instructions

Apply macroblocking glitch effect.

Simulates codec artifacting by downscaling/upscaling to create blocky pixelation combined with color posterization.

Args: input_path: Absolute path to input video. output_path: Absolute path for output video. block_size: Block size in pixels. Default 16. intensity: Blend with original (0-1). Default 0.7. color_reduction: Color level reduction (0-1). Default 0.3.

Returns: Dict with success status and output_path.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_pathYes
output_pathNo
block_sizeNo
intensityNo
color_reductionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. It explains the effect and parameters but does not disclose whether it modifies files in-place, performance costs, or destructive nature. Adequate but not thorough.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with title, effect explanation, and parameter list. Slightly verbose due to docstring style and redundant return info given output schema, but still efficient.

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?

For a specialized effect tool with 5 parameters and output schema, the description covers essential information. Lacks prerequisites or performance hints, but overall complete.

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 0%, yet the description explains all 5 parameters with defaults and ranges (e.g., intensity 0-1). Adds meaning beyond schema, though output_path null behavior is not clarified.

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 'Apply macroblocking glitch effect' and explains it simulates codec artifacting via downscaling/upscaling. This distinguishes it from other glitch tools in the sibling list.

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?

No explicit guidance on when to use this tool vs other glitch effects (e.g., datamoshing, rgb shift). The description just explains what it does without comparisons or prerequisites.

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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