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vasyl-bilous

Component Library MCP

by vasyl-bilous

search_components

Find components in a component library using natural language queries, prop names, types, or slot names. Results are ranked by relevance.

Instructions

Search components by natural-language query, prop name, prop type, or slot name. Returns ranked results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
prop_nameNo
prop_typeNo
has_slotNo
limitNo
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses that results are ranked, but lacks details on the ranking mechanism, potential side effects, authentication requirements, or result limits. The behavior is partially transparent but not comprehensive.

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 with two sentences. The first sentence front-loads the purpose and lists search criteria. No unnecessary words.

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?

For a tool with 5 parameters, no output schema, and no annotations, the description is insufficient. It lacks explanation of how multiple search criteria interact, result format, pagination, ranking details, and any constraints. More information is needed for an agent to use this tool reliably.

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 0%, so the description must add meaning beyond parameter names. It mentions the search modes (query, prop_name, prop_type, has_slot) which clarifies their role as search criteria. However, it does not explain parameter formats, combinations, or default behavior. This is adequate but not complete.

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 searches components by multiple criteria (natural-language query, prop name, prop type, slot name) and returns ranked results. This distinguishes it from sibling tools like list_components (lists all) and get_component_details (retrieves specific component info).

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?

The description implies usage for searching components but does not explicitly state when to use this tool vs alternatives like list_components or get_component_details. No exclusions or prerequisites are mentioned.

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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