ui-ux-pro-mcp

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

With no annotations provided, the description carries full burden and does well by specifying what the tool returns (Style CSS code, color hex values with Tailwind config, font pairings with Google Fonts imports) and providing examples. It doesn't mention rate limits, authentication needs, or destructive behavior, but covers core functionality adequately.

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

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

The description is well-structured with clear sections (purpose, usage, domain filter, returns, examples), front-loaded with key information, and every sentence adds value without redundancy. It efficiently communicates necessary details in a compact format.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and no output schema, the description does a good job covering purpose, usage, parameters, and return values. It could improve by mentioning potential limitations or error cases, but it's largely complete for a search tool with moderate complexity.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds value by explaining the optional 'domain' parameter with its filter options (style, color, typography, prompt) and clarifying what the tool searches for, enhancing understanding beyond the schema's technical definitions.

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

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

The description explicitly states the tool searches for specific visual design elements (UI styles, color palettes, typography pairings, AI prompts) with concrete counts, making the purpose clear and specific. It distinguishes from siblings by focusing on visual aesthetics rather than broader design systems, components, or platforms.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes a dedicated 'WHEN TO USE' section listing specific scenarios (visual aesthetics, color schemes, font choices, CSS effects, design tokens), providing explicit guidance on when to use this tool. It implicitly differentiates from siblings by not covering their domains like components or platforms.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.