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omni_video_render

Orchestrates final video rendering by applying EDL cuts, overlay graphics, LUT color grading, audio restoration, and subtitle burning, returning the path to the completed .mp4 file.

Instructions

Orchestrates the final render pipeline: applies EDL cuts, overlay graphics, LUT color grading, audio restoration, and subtitle burning. Returns the path to the final rendered video.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries behavioral disclosure. It accurately describes the tool's actions (applying cuts, LUT, etc.) and the return value (path to final video). It does not mention side effects like file creation or potential errors, but the output_path parameter implies file writing. This is adequate but not exhaustive.

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 single sentence that efficiently lists all main operations and the return value. It is front-loaded with the core purpose ('Orchestrates the final render pipeline') and contains no fluff or redundant information.

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 tool's core functionality and return value, and the schema outlines required parameters. It lacks details about error handling or prerequisites, but given the presence of an output schema (implied) and sibling context, it is mostly complete for a final render step.

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?

The input schema properties have detailed descriptions (e.g., edl_json, lut_path, output_path), which already clarify parameter meanings. The tool description does not add additional parameter information beyond listing the tool's capabilities. With good schema coverage, a baseline score of 3 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 orchestrates the final render pipeline and enumerates specific operations (EDL cuts, overlay graphics, LUT grading, audio restoration, subtitle burning). It distinguishes from siblings through the term 'final render,' differentiating it from ingest, VFX generation, and preview tools.

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?

The description implies this is the last step in a video processing pipeline, but does not explicitly state when to use it versus alternatives or mention prerequisites. The mention of 'final render' provides some context, but more direct guidance would improve this dimension.

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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