Shows all available model options with their features, strengths, and costs.
Use this to understand which model to choose for your video generation.

Returns:
    Table of all models with descriptions, capabilities, and pricing.

Shows all available resolution and aspect ratio options with use cases.

Returns:
    Tables of resolutions and aspect ratios with descriptions.

Reference guide for what each action does and which tool to use.
Helpful for understanding the full capabilities of the Seedance MCP.

Returns:
    Categorized list of all actions and their corresponding tools.

Use this to check if a generation is complete and retrieve the resulting
video URLs, thumbnails, and other metadata.

Use this when:
- You want to check if a generation has completed
- You need to retrieve video URLs from a previous generation
- You want to get the full details of a generated video

Task statuses:
- 'running': Generation is still in progress
- 'succeeded': Generation finished successfully
- 'failed': Generation failed (check error message)

Returns:
    Task status and generated video information including URLs and metadata.

Efficiently check the status of multiple tasks in a single request.
More efficient than calling seedance_get_task multiple times.

Use this when:
- You have multiple pending generations to check
- You want to get status of several videos at once
- You're tracking a batch of generations

Returns:
    Status and video information for all queried tasks.

This is the simplest way to create video - just describe what you want and
Seedance will generate a high-quality AI video.

Use this when:
- You want to create a video from a text description
- You don't have reference images
- You want quick text-to-video generation

For using reference images (first/last frame, reference), use
seedance_generate_video_from_image instead.

Returns:
    Task ID and generated video information including URLs and metadata.

This allows you to control the video by specifying first frame, last frame,
or reference images. Seedance will generate smooth motion based on the inputs.

Use this when:
- You have a specific image you want to animate
- You want to create a video transition between two images
- You need style guidance from reference images
- You need precise control over the video's visual content

Note: reference_image_urls cannot be combined with first_frame_url/last_frame_url.
At least one image input must be provided.

Returns:
    Task ID and generated video information including URLs and metadata.