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lpm-dev

@lpm-registry/mcp-server

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by lpm-dev

lpm_api_docs

Retrieve structured API documentation for any LPM package, including functions, classes, interfaces, type aliases, enums, and variables with signatures, params, return types, and descriptions. Understand a package's API before installing.

Instructions

Get structured API documentation for an LPM package — functions, classes, interfaces, type aliases, enums, and variables with signatures, params, return types, and descriptions. Use this to understand how to use a package before installing it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPackage name in owner.package-name or @lpm.dev/owner.package-name format
versionNoSpecific version to get docs for (defaults to latest)
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It only states what the tool returns, lacking details on permissions, rate limits, error handling, or side effects.

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 content, followed by usage context. Every sentence adds value without redundancy.

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

Completeness4/5

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

Given no output schema, the description adequately explains the return content (functions, classes, etc.). Missing details on error behavior or output format, but sufficient for a simple info retrieval 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 descriptions for 'name' and 'version'. The tool description does not add extra meaning beyond the schema, such as format examples or constraints on values.

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 retrieves structured API documentation for LPM packages, listing specific components like functions, classes, interfaces. It distinguishes from sibling tools like lpm_docs by specifying 'structured API documentation'.

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?

Explicitly states when to use: 'before installing it'. While it doesn't list exclusions or alternatives, the use case is clearly communicated.

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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