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get_ui_component_blueprint

Provides production-ready UI blueprints with CSS/Tailwind structures for common components (landing pages, navbars, sidebars, command palettes, data tables, stat cards) based on your style framework.

Instructions

Provides battle-tested production UI layout blueprints and CSS/Tailwind component structures for Landing Pages, Navbars, Sidebars, Command Palettes (Cmd+K), Data Tables, and Stat Cards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
component_typeYesType of UI component blueprint needed
style_frameworkNoStyling technology target (default: 'vanilla_css')
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 only says the tool 'provides' blueprints, but doesn't describe the output format (e.g., whether it returns code snippets, structured text, or a guide), how the style_framework parameter affects the output, or any potential side effects. The behavior is opaque beyond the high-level promise of 'blueprints'.

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, well-structured sentence. It front-loads the core action ('Provides battle-tested production UI layout blueprints') and then enumerates the supported component types in a clear list. There is no redundant or irrelevant text; every word earns its place.

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?

With no output schema, the description should explain what the agent can expect as a result. It mentions 'layout blueprints and CSS/Tailwind component structures' but doesn't specify the form of that output (e.g., detailed code, instructions, numbered steps). It also omits whether the style_framework parameter significantly changes the output. For a tool that returns a blueprint, this lack of output detail means the agent may not know how to handle the response correctly.

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

Parameters3/5

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

Both parameters (component_type and style_framework) are fully described in the schema with 100% coverage. The description adds only marginal contextual value by emphasizing 'production' quality and listing component types that already appear in the enum. It does not explain how the style_framework choice influences the blueprint content, nor provide any additional meaning beyond what the schema already conveys.

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?

The description states a specific verb ('Provides') and resource ('battle-tested production UI layout blueprints and CSS/Tailwind component structures'), followed by an explicit list of component types (Landing Pages, Navbars, Sidebars, Command Palettes, Data Tables, Stat Cards). This clearly distinguishes it from sibling tools like audit_ui_design_aesthetic (which audits rather than provides blueprints) and get_mobile_app_blueprint (which targets a different scope). The purpose is unambiguous and specific.

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 explicit guidance on when to use this tool versus alternatives. It does not mention any conditions, exclusions, or alternative tools, even though sibling tools like get_design_system_recommendation or generate_fintech_trading_blueprint could overlap. Usage is only implied by the purpose, which is insufficient for clear decision-making.

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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