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produce_video

Create professional videos with text overlays, optional audio replacement, and platform-specific scaling. Leverages hardware-accelerated encoding for efficient output.

Instructions

Produce a professional video with text overlays, optional audio replacement, and platform-specific scaling. Uses hardware-accelerated encoding.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
video_pathYesAbsolute path to the input video file
audio_pathNoAbsolute path to replacement audio file (optional)
use_custom_audioNoIf true, replace video audio with the provided audio file
platformNoTarget platform (tiktok, reels, shorts, feed, twitter, youtube, original)original
text_overlaysNoJSON array of overlays: [{"startTime":"0","endTime":"3","text":"HELLO","font":"Impact","size":48,"color":"#FFFFFF"}][]
output_pathNoOutput file path (auto-generated if empty)
beat_sync_effectsNoJSON array of effect IDs to trigger on beats, e.g. ["Flash","Glitch Beat"][]
target_durationNoTarget output duration in seconds (0 = use full source video)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Only mentions hardware-accelerated encoding. Does not disclose key behaviors such as whether the input file is modified, output location handling, or required permissions. With no annotations, the description should provide more behavioral context.

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, highly concise. Front-loads the main purpose and key features without extraneous information. Every sentence adds value.

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

Completeness3/5

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

Given an output schema exists and 8 parameters, the description covers basic purpose and features but lacks usage guidelines and behavioral details. Adequate for understanding what it does, but incomplete for safe invocation without further context.

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 descriptions cover all 8 parameters (100% coverage). The description reiterates some features but adds no additional meaning beyond what the schema already provides. Baseline score is appropriate.

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 produces a professional video with specific features (text overlays, audio replacement, platform scaling). It distinguishes from siblings like 'video_production_beat_sync' and 'viral_clip_extractor' by focusing on general production with overlays and encoding.

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 guidance on when to use this tool versus alternatives like 'video_production_beat_sync' or 'viral_clip_extractor'. The description does not specify suitable scenarios or exclusions, leaving the agent without decision-making support.

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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