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start_website_video

Start an asynchronous website video job that generates a video from a prompt using ChatGPT or Grok membership sessions. Returns a job ID for tracking progress.

Instructions

Start an asynchronous website video job using only paid ChatGPT/Grok membership sessions. GPT browser creates the first frame when available; Grok membership image_gen is the safe pre-submit fallback; Grok membership image_to_video creates the MP4. Returns immediately with a job_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNogrok-website-video
promptYes
output_dirYes
resolutionNo720p
create_webmNo
aspect_ratioNo16:9
source_imageNo
motion_promptNoSlow cinematic push-in with subtle atmospheric motion; keep the subject stable.
duration_secondsNo
first_frame_providerNoauto
Behavior3/5

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

The description discloses asynchronous behavior, immediate job_id return, and workflow (GPT first frame, Grok fallback, image_to_video). However, lacks details on error handling, permissions, or side effects. No annotations provided to supplement.

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?

Three sentences front-load purpose and workflow. Efficient but could be better organized with bullet points or clearer separation of process steps.

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?

With 10 parameters, no annotations, and no output schema, the description is severely incomplete. It omits parameter explanations and return structure, making it hard for an agent to use correctly.

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

Parameters1/5

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

Schema coverage is 0% and description does not explain any of the 10 parameters. It only describes high-level process, leaving parameter semantics entirely to the schema.

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 starts an asynchronous website video job, specifying use of ChatGPT/Grok sessions. It distinguishes from sibling tools (cancel, get, list, doctor) by focusing on job initiation.

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 siblings or alternatives. The description does not mention context, 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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