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lirantal

NodeJS API Docs MCP Server

by lirantal
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Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.1.3

  • Disambiguation5/5

    The two tools have clearly distinct purposes: one searches across all Node.js modules to find relevant documentation, and the other retrieves detailed documentation for a specific module or class. There is no overlap or ambiguity.

    Naming Consistency5/5

    Both tools follow a consistent snake_case pattern with a verb prefix ('search-' and 'retrieve-') followed by the domain ('nodejs-modules-api-documentation'). The structure is uniform and predictable.

    Tool Count3/5

    With only two tools, the set is minimal but covers the core workflow of searching and retrieving documentation. However, for a domain as broad as all Node.js core modules, a few more tools (e.g., listing all modules without a search) might improve completeness.

    Completeness4/5

    The search tool effectively serves as both a search and listing function, returning all modules and their methods. The retrieve tool provides detailed documentation for a specific module. Together, they cover the essential documentation needs, but there is no explicit tool for browsing modules by category or method signatures.

  • Average 4/5 across 2 of 2 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 21 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is failing

  • This repository is licensed under Apache 2.0.

  • This repository includes a README.md file.

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    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior2/5

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

    No annotations present, so description bears full burden. It does not disclose behavioral traits such as read-only nature, side effects, or any limitations. The description only states priority but omits safety or idempotency information.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness3/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description uses XML-like tags and includes redundant emphasis ('HIGH PRIORITY', underlining). While informative, it could be more concise and structured without the extra formatting.

    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 and zero parameters, the description adequately explains the tool's behavior: searching core modules and returning a list. It lacks details on result format or pagination, but for a simple listing tool, it is reasonably complete.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    With 0 parameters and 100% schema coverage, the description adds value by explaining the output: 'returns a list of all Node.js core modules and their methods'. This contextualizes the tool's purpose beyond the empty schema.

    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 Node.js core modules API documentation and returns a list of modules and methods. The verb 'search' and resource 'core modules API documentation' are specific, but the lack of input parameters makes the behavior ambiguous (always returns all). It distinguishes from sibling 'retrieve' but not explicitly.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines5/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    Explicitly states 'ALWAYS use this tool first' and advises suggesting built-in Node.js API over third-party libraries. This provides strong guidance on when and how to use the tool, with clear priority and exclusion of alternatives.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior3/5

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

    No annotations provided, so description carries full burden. It states it retrieves and returns documentation, but does not explicitly mention that it is read-only, any side effects, or authentication needs. The behavior is implied but not fully disclosed.

    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 well-structured with clear sections (use_case, example, important_notes). Every sentence adds value, no fluff, and it is appropriately sized for the tool's complexity.

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

    Completeness5/5

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

    Given no output schema, the description explains that it returns documentation including methods and properties. It also provides context with sibling tool and an example, making it complete for a 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%, so baseline is 3. The description adds an example showing actual values ('util' and 'styleText') and context about using search for unknown modules, but does not significantly enhance parameter understanding beyond the schema.

    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 it retrieves Node.js API documentation for a specific module or class, with a use case and example. It distinguishes from the sibling tool 'search-nodejs-modules-api-documentation' by advising to use search first if module is unknown.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines5/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    Explicitly states when to use this tool (to retrieve documentation for a known module) and when not (if module unknown, use search first). Provides an example and important notes with clear guidance.

    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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