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lpm-dev

@lpm-registry/mcp-server

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by lpm-dev

lpm_search

Search for LPM packages using natural language or structured filters. Find packages by category, ecosystem, distribution, license, and more.

Instructions

Search LPM packages using natural language or structured filters. Uses hybrid semantic search for natural language queries. Supports filtering by category, distribution mode, package type, ecosystem, license, and more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoNatural language search query (e.g., "validate user input", "react component library")
categoryNoPackage category to filter by (e.g., ui-components, tools)
ecosystemNoFilter by package ecosystem (e.g., "swift" for iOS/macOS packages)
distributionNoFilter by distribution mode
packageTypeNoFilter by package type
sortNoSort order (default: relevance for search, newest for filtered)
hasTypesNoFilter to packages with TypeScript type definitions
moduleTypeNoFilter by JavaScript module type
licenseNoFilter by license
minNodeVersionNoFilter to packages supporting this Node.js version or lower
limitNoMaximum number of results (1-50, default 10)
Behavior2/5

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 hybrid semantic search but omits critical behavioral details such as whether the operation is read-only, output format, pagination behavior (limit exists but no offset/cursor), or rate limits.

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?

Two sentences, front-loaded with purpose and key features, no fluff.

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?

Given 11 parameters, no required fields, 7 enums, and no output schema, the description is too minimal. It lacks information on combining filters, default behavior, and return format, making it incomplete for a complex search tool.

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 coverage is 100% with each parameter having a description. The description summarizes filter categories but adds minimal beyond the schema. 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 it searches LPM packages using natural language or structured filters and mentions hybrid semantic search. However, it does not explicitly distinguish from sibling search tools like lpm_search_owners.

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 this is the primary tool for searching packages but provides no explicit guidance on when to use alternatives (e.g., lpm_package_info for known packages, lpm_search_owners for owner queries) or when not to use it.

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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