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get_component_styled

Returns a component together with the design tokens of a brand style and precise instructions for adapting it, so the component lands directly in your own brand look.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesComponent name, e.g. 'GradientHeroSection'.
styleYesStyle slug from list_styles.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / name / description
      Previous value: -"Komponentenname, z. B. 'GradientHeroSection'."New value: +"Component name, e.g. 'GradientHeroSection'."
    • changedInput schema / properties / style / description
      Previous value: -"Style-Slug aus list_styles."New value: +"Style slug from list_styles."
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose what is returned (component + tokens + adaptation instructions), which is meaningful since there is no output schema, but it says nothing about failure modes (e.g., an unknown style slug), auth requirements, or whether the instructions are prescriptive or advisory.

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?

A single front-loaded sentence with the return content stated first. The trailing clause "so the component lands directly in your own brand look" is mildly promotional rather than informative, keeping it short of a 5.

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

Completeness3/5

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

For a two-parameter read tool with no annotations and no output schema, the description covers the essence of what comes back but omits how the returned tokens/instructions should be applied, what happens on an invalid style, and how this differs from the plain get_component. Adequate but with clear gaps.

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?

Schema description coverage is 100% and both parameters are documented (component name example, style slug sourced from list_styles). The description adds no syntax, format, or constraint detail beyond what the schema already provides, so the baseline of 3 applies.

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?

States a specific verb ("Returns") and a compound resource (component + design tokens of a brand style + adaptation instructions). It is distinguishable in intent from get_component by the 'styled' framing, but it never names or contrasts with that sibling, so the differentiation is inferred rather than stated.

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

Usage Guidelines3/5

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

"so the component lands directly in your own brand look" implies the use case (you want brand-matched output rather than a raw component), but there is no explicit when-to-use instruction, no prerequisites, and no named alternative such as get_component.

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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