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lando-labs

@lando-labs/lando-ds-mcp

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by lando-labs

search_icons

Find the right icon by describing what you need to accomplish. Searches the design system and Lucide catalogs, prioritizing semantically relevant icons while still matching by name.

Instructions

Semantic icon search by purpose. Searches across DS-brand + full Lucide catalog; metadata-annotated icons rank higher (richer signal), bare Lucide names still match via name similarity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum matches (default 10, max 200).
queryYesWhat you want to accomplish (e.g. "user profile", "indicate success").
sourceNoIcon source (default: all).
categoryNoOptional: filter to this category (only applies to annotated entries).
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It does disclose ranking behavior (metadata-annotated icons rank higher, name similarity for bare Lucide names), which is useful. However, it omits other behavioral aspects like return format, pagination, or error handling, so it's decent but not rich.

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 two sentences, tightly packed with relevant information and zero filler. It front-loads the core purpose before adding scope and ranking details.

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 search tool with four parameters and no output schema, the description provides enough to understand what it does but lacks deeper context such as result ordering, empty-result behavior, or specific exclusions. It does mention ranking, which is helpful, but could be more complete for a no-annotation environment.

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%, so all four parameters (query, limit, source, category) already have detailed descriptions. The tool description adds no parameter-specific meaning beyond what the schema provides, so the baseline 3 is appropriate.

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?

The description clearly states a specific verb and resource: 'Semantic icon search by purpose.' It also defines the scope (DS-brand + Lucide catalog), which distinguishes it from a simple listing tool like list_icons, though it does not explicitly name the sibling.

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 guidance on when to use search_icons versus alternatives such as list_icons. It implies a use case (searching by purpose) but does not state explicit conditions, exclusions, or comparisons to sibling tools.

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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