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rob-kingsbury

MCP Scroll Animation Analyzer

export_replicable_code

Create standalone code to replicate observed scroll animations. Choose framework and target element for exact GSAP, ScrollTrigger, Lenis, or CSS.

Instructions

Generate standalone code to recreate the observed animations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
frameworkNovanilla
targetElementNoCSS selector or 'all'
Behavior2/5

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

No annotations are provided, so the description must convey behavioral details. It only states that it generates code, but does not disclose what 'observed animations' means, what inputs affect output, whether it requires prior recording, or what the output format is. The behavior is underspecified for a tool that likely has side effects or dependencies.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence, front-loaded with the action. It is easy to parse and contains no fluff. However, it is so terse that it sacrifices necessary context, making it slightly under-specified for its informational needs.

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 context (2 optional params, no output schema, no annotations, and several sibling tools for animation extraction), the description is incomplete. It fails to explain the distinction from 'extract_animation_code', what 'observed animations' refers to, or what form the generated code takes. The agent likely needs more information to use this tool correctly.

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?

The input schema has 50% description coverage (only targetElement is described). The tool description adds no parameter detail whatsoever, leaving the 'framework' parameter's semantics to the enum alone. Since the description does not compensate for the missing schema documentation, the agent gets minimal guidance on how to set parameters.

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 specifies a clear verb 'Generate' and a concrete resource 'standalone code to recreate the observed animations'. It is not tautological and conveys the tool's core function. However, it does not explicitly differentiate itself from the sibling tool 'extract_animation_code', which may also generate code, so it loses a point on distinctiveness.

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 gives no guidance on when to use this tool versus alternatives like 'extract_animation_code' or 'get_animation_css'. It does not mention prerequisites (e.g., having observed animations first) or any contextual cues for selection, leaving the agent to guess.

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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