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get_component

Fetch full metadata plus a ready-to-paste React usage example for one specific UploadKit component.

When to use: once you know the exact component name (from list_components or search_components) and need to show the user how to drop it into their code. The returned "usage" field is copy-pasteable TSX including the correct import line and the styles.css import.

Returns: JSON { name, category, description, inspiration, usage }. If the name does not match any component, returns a suggestion message with the 5 closest matches. Read-only, idempotent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesExact PascalCase component name. Case-sensitive. Examples: "UploadDropzone", "UploadDropzoneAurora", "UploadProgressRadial", "UploadDataStream". Must match one of the names returned by list_components.

TDQS

A4.7/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses read-only, idempotent behavior, the exact JSON return shape, and the fallback suggestion message for unmatched names. This goes beyond minimal expectations, though it could mention explicit side-effect absence.

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 tightly written with a logical flow: purpose, when-to-use, return format, and error behavior. Every sentence earns its place with no redundancy.

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

Completeness5/5

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

This is a simple single-parameter read-only tool with no output schema, and the description covers all necessary context: what it returns, how to use it, error handling, and safety. No significant information gaps remain.

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?

The schema already provides thorough parameter details (case-sensitive, PascalCase, examples), and the description adds contextual guidance on sourcing the name from list_components or search_components. This enhances the parameter's meaning beyond the schema alone.

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 clearly states the tool fetches full metadata and a copy-pasteable React usage example for one specific UploadKit component. It distinguishes from sibling listing/searching tools by specifying 'one specific' and referencing how to obtain the exact name.

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

Usage Guidelines5/5

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

The description includes an explicit 'When to use' section: once the exact component name is known from list_components or search_components and a ready-to-paste example is needed. This clearly differentiates when to use this tool over alternatives.

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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TDQS

A4.7/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: docs (list/search/get), components (list/search/get), scaffolding (route handler/provider), install, quickstart, BYOS config, and image transform. Even the most similar pairs (list_docs vs search_docs vs get_doc) have clear boundaries between enumerating, searching, and fetching a specific page.

Naming Consistency5/5

All tools follow a consistent verb_noun snake_case pattern: get_*, list_*, search_*, scaffold_*, plus transform_image. The verbs are semantically grouped (list = enumerate, search = fuzzy find, get = fetch specific, scaffold = generate code), making the naming predictable and scannable.

Tool Count5/5

With 12 tools, the server is well-scoped. It covers the full array of UploadKit integration tasks—docs discovery, component exploration, setup scaffolding, install commands, and image transformations—without unnecessary duplication or bloat.

Completeness5/5

The tool surface is highly complete for its purpose: agents can discover and fetch docs, search and inspect components, generate all necessary setup code (route handler, provider, install, BYOS), and create transformed image URLs. The only possible gap is upload management, but that is outside the server's stated integration-guidance scope, so no dead ends exist.

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