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atlas_animation_studio

Generate CSS, Framer Motion, and GSAP animations for entrances, exits, hovers, and scroll effects, with reduced-motion accessibility support.

Instructions

Professional animation generator that creates CSS animations, Framer Motion code, GSAP timelines, and micro-interactions. Supports entrance, exit, hover, loading, scroll, and gesture animations with accessibility support.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesType of animation to create
styleNoAnimation style/feel
elementYesDescription of the element to animate (button, card, modal, etc.)
libraryYesAnimation library to generate code for
durationNoAnimation duration in milliseconds
frameworkNoTarget framework
includeReducedMotionNoInclude prefers-reduced-motion support
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does mention accessibility support, adding useful context, but it fails to clarify what the tool returns (e.g., code snippets vs. files), whether it has side effects, or any safety characteristics. This is acceptable for a generator but leaves room for improvement.

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 concise and well-structured: two sentences front-load the primary purpose and then detail the scope. Every phrase earns its place, with no redundant words or unnecessary detail, making it easy for an agent to quickly grasp the tool's function.

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 the tool's moderate complexity (7 parameters, 3 required, 4 enums) and the lack of output schema or annotations, the description provides a solid domain overview but omits critical context like required parameters or expected return format. The schema covers parameters, but without an output schema, mentioning the return type would enhance completeness.

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 provides 100% coverage of all 7 parameters, including enums and descriptions, so the baseline is 3. The description reinforces this by listing animation types and libraries that map directly to schema enum values, but it adds no new parameter-specific information beyond what the schema already states.

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 is a 'Professional animation generator' with a specific verb ('creates') and resource (CSS animations, Framer Motion code, GSAP timelines, and micro-interactions). It enumerates the supported animation types (entrance, exit, hover, loading, scroll, gesture), making the purpose highly specific and distinguishable from sibling tools like atlas_css_wizard or atlas_ui_ux_designer.

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?

The description offers no guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. It simply describes capabilities without contextualizing them against sibling tools, leaving the agent to infer usage scenarios without explicit 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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