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leaf76

lazy-media-mcp

by leaf76

video_compress

Re-encode video files to reduce size with adjustable quality, resolution, and audio bitrate. Output as MP4 or WebM.

Instructions

Re-encode a video (default MP4/H.264). WebM is optional. Prefer video_extract_frames or prepare_for_ai for agent vision.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
crfNo
pathYes
job_idNo
containerNomp4
max_heightNo
audio_bitrate_kNo
Behavior2/5

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

No annotations provided, so description must disclose behavior. It only says 'Re-encode' without explaining side effects (overwrites original file, creates new file, permissions needed). Lacks critical behavioral details for a mutation tool.

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, zero waste. First sentence states primary purpose, second gives usage guidance. Front-loaded and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of video re-encoding (6 parameters, no output schema, no annotations), the description is too brief. It omits output format details, file handling behavior, and parameter explanations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but description only mentions default container format. Does not explain crf, max_height, audio_bitrate_k, or job_id. For 6 parameters, this is insufficient compensation.

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 action ('Re-encode a video'), resource, and default format (MP4/H.264). It distinguishes from siblings by recommending video_extract_frames or prepare_for_ai for agent vision tasks.

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?

Explicitly advises when not to use this tool ('prefer video_extract_frames or prepare_for_ai for agent vision'). Could be more explicit about when compression is appropriate, but the guidance is clear.

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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