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pika_generate_video

Generate AI videos from text prompts or animate images using Pika. Returns a generation ID to track progress.

Instructions

Generate a creative AI video from a text prompt using Pika. Optionally animate an input image. Returns a generation_id to poll for completion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesPika API key
promptYesText description of the video to generate
image_urlNoURL of an image to animate
styleNoStyle name or ID (use pika_list_styles to browse options)
durationNoVideo duration in seconds
aspect_ratioNoe.g. 16:9, 9:16, 1:1
negative_promptNoWhat to avoid in the video
motionNoMotion intensity 1-4 (default: 2)
seedNoRandom seed for reproducibility
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the asynchronous nature (returns generation_id) and optional image animation, but lacks details on rate limits, costs, error handling, or behavioral constraints.

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 with no wasted words. The first sentence states the main purpose, the second adds optional features and return value. Front-loaded and efficient.

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 core action and the polling mechanism, but omits mentioning optional features like style selection (despite style being a parameter). For a tool with 9 parameters and no output schema, the description could be more complete.

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 coverage is 100% with each parameter described. The description adds context about optional image animation and the output (generation_id), but does not significantly expand on parameter meanings beyond 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 generates an AI video from a text prompt, with optional image animation. It distinguishes itself from siblings like pika_get_generation by mentioning the returned generation_id for polling.

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 the usage workflow (generate then poll with generation_id), but does not explicitly state when to use or not use this tool versus alternatives like pika_list_styles or other video generation tools.

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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