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@lando-labs/lando-ds-mcp

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by lando-labs

list_components

Find design system components by filtering on category, deprecation, server safety, polymorphic support, or kind.

Instructions

List DS components with optional filters (category, deprecated, serverSafe, polymorphic, kind). Meta-backed since v3.0.0.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoReserved for future non-component kinds.
categoryNoFilter by category (matches meta.components[X].category).
deprecatedNoIf true, ONLY deprecated components; if false, exclude them.
serverSafeNoIf true, only RSC-safe components.
polymorphicNoIf true, only components with `as` / `asChild`.
Behavior3/5

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

With no annotations, the description carries the transparency burden. 'Meta-backed since v3.0.0' adds some context about data source, but it doesn't disclose return format, pagination, ordering, or any side effects. 'List' implies a read-only operation, but this is not explicit.

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 extremely concise, consisting of two short sentences. It front-loads the purpose and includes only essential details like filters and version metadata, with no wasted words.

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 simple listing tool with optional filters, the description is adequate but lacks explicit mention of what the response contains or any pagination/limit behavior. Since there is no output schema, this leaves some ambiguity for the agent.

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?

The input schema provides 100% coverage with clear descriptions for all five parameters. The description only re-lists the parameter names, adding no extra semantic value beyond what the schema already states.

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 'List DS components' with explicit optional filters, using a specific verb and resource. It distinguishes from sibling tools like get_component by focusing on listing rather than retrieving a specific component.

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?

The description clearly implies usage for browsing/filtering components, and the mention of optional filters provides context. However, it doesn't explicitly state when not to use it or compare with alternatives like get_component or get_component_props.

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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