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1999AZZAR
by 1999AZZAR

evaluate_style

Evaluates a product description against design systems to return ranked style recommendations with scoring. Use this first to get best-matching style, palette, archetype, and workflow.

Instructions

Evaluates a product description against all design systems and returns ranked style recommendations with scoring. USE THIS FIRST before generate_rules. Takes a product context (e.g. 'automotive gaming mouse', 'enterprise dashboard', 'luxury ecommerce') and returns the best-matching style, palette, archetype, and a step-by-step workflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYesProduct description or context (e.g. 'automotive gaming mouse', 'enterprise admin dashboard', 'luxury fashion ecommerce')
Behavior4/5

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

No annotations provided, so description carries full burden. Discloses that it returns best-matching style, palette, archetype, and workflow. Mentions scoring and ranking. Lacks details on side effects or rate limits, but the tool is likely read-only.

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 front-load the action and output. No filler or repetition. Efficient and clear.

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?

For a simple single-parameter tool with no output schema, the description provides sufficient context: input examples, output components, and ordering. Could elaborate on 'all design systems' but adequate.

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

Parameters4/5

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

Schema covers 100% of the single parameter with a description. Tool description adds concrete examples (e.g. 'automotive gaming mouse') and context that the parameter is a product context, enhancing understanding beyond 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?

Clearly states verb 'evaluates' and resource 'product description against all design systems', specifies output 'ranked style recommendations with scoring'. Distinguishes from sibling by saying 'USE THIS FIRST before generate_rules'.

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?

Explicitly says when to use this tool relative to generate_rules. Provides example inputs. Does not specify when not to use it or list other alternatives, but gives clear context.

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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