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xiaobenyang-com

GSAP-Animation-Generate

create_production_pattern

create_production_pattern

Generate production-ready animation patterns for GSAP to create high-performance animations based on specified pattern types and industries.

Instructions

Generate battle-tested, production-ready animation patterns

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pattern_typeYes
industryNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'battle-tested, production-ready,' which hints at quality and reliability, but lacks critical details: whether this is a read or write operation, what permissions are needed, if it has side effects, rate limits, or output format. For a tool with zero annotation coverage, this is insufficient.

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, efficient sentence with zero waste. It's appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration. Every word earns its place, making it highly concise and well-structured.

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?

Given the complexity (a generation tool with 2 parameters), no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It doesn't explain what 'animation patterns' entail, how they're generated, or what the output looks like. The lack of behavioral and parameter details makes it inadequate for informed tool selection.

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

Parameters2/5

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

Schema description coverage is 0%, meaning the input schema provides no descriptions for the two parameters ('pattern_type' and 'industry'). The description adds no information about what these parameters mean, expected values, or examples. It fails to compensate for the schema's lack of documentation, leaving parameters largely unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Generate battle-tested, production-ready animation patterns.' It specifies the verb ('generate') and resource ('animation patterns') with useful qualifiers ('battle-tested, production-ready'). However, it doesn't explicitly differentiate from sibling tools like 'understand_and_create_animation' or 'generate_complete_setup,' which prevents a perfect score.

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 provides no guidance on when to use this tool versus alternatives. With siblings like 'understand_and_create_animation' and 'generate_complete_setup,' there's no indication of context, prerequisites, or exclusions. This leaves the agent guessing about appropriate usage scenarios.

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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