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xiaobenyang-com

GSAP-Animation-Generate

optimize_for_performance

optimize_for_performance

Transform animation code into 60fps performance by applying expert optimizations for GSAP animations.

Instructions

Transform any animation into 60fps smoothness with expert optimizations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
animation_codeYes
targetNo
Behavior2/5

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 mentions 'expert optimizations' but lacks details on what these entail (e.g., code modifications, resource usage, side effects, or error handling). For a tool that likely mutates animation code, this is insufficient to inform safe usage.

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 that front-loads the core purpose without wasted words. It's appropriately sized for the tool's apparent complexity.

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 no annotations, 0% schema coverage, no output schema, and a likely mutation tool, the description is incomplete. It omits critical details like optimization methods, output format, error cases, and how it differs from siblings, leaving significant gaps for an AI agent.

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%, so the description must compensate for undocumented parameters. It doesn't explain 'animation_code' (e.g., format, language) or 'target' (e.g., platform, framework), leaving their meanings ambiguous. This fails to add value beyond the bare schema.

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: transforming animations to achieve 60fps smoothness with optimizations. It specifies the verb ('transform') and resource ('any animation'), but doesn't explicitly differentiate from sibling tools like 'debug_animation_issue' or 'understand_and_create_animation', which might also involve animation improvement.

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. It doesn't mention prerequisites, context for optimization needs, or compare with siblings like 'debug_animation_issue' for performance issues or 'generate_complete_setup' for broader setup tasks.

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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