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elegroag

Backbone.js Documentation MCP Server

by elegroag
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Server Quality Checklist

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

  • Latest release: v1.0.0

  • Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap between tools. The tool has a single, clearly defined purpose of searching text in Markdown chapters.

    Naming Consistency5/5

    The single tool name 'search-backbone' follows a consistent verb-noun pattern (search-backbone), and with only one tool, there is no inconsistency to evaluate. The naming is clear and appropriate for its function.

    Tool Count2/5

    A single tool is too few for a documentation server's apparent scope, which typically involves multiple operations like browsing, filtering, or retrieving specific sections. This minimal set limits functionality and may cause agent failures in complex tasks.

    Completeness2/5

    The tool surface is severely incomplete for a documentation server. While search is useful, there are obvious gaps such as retrieving chapter lists, accessing specific chapters by title or ID, or navigating documentation structure, which are essential for comprehensive documentation interaction.

  • Average 3.1/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 2 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available

  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    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 are provided, so the description carries the full burden of behavioral disclosure. It mentions searching and returning links, but does not cover important aspects like whether this is a read-only operation, potential rate limits, authentication needs, or how results are formatted (e.g., pagination). For a search tool with zero annotation coverage, this is a significant gap.

    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 a single, efficient sentence that clearly states the tool's purpose without any wasted words. It is appropriately sized and front-loaded, making it easy to understand at a glance.

    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?

    Given the tool's moderate complexity (search with three parameters) and no output schema, the description is minimally adequate. It covers what the tool does but lacks details on behavioral traits and output format. With no annotations, it should do more to compensate, but the clear purpose and concise structure keep it from being lower.

    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?

    The schema description coverage is 100%, meaning all parameters are documented in the schema itself. The description does not add any additional meaning or context beyond what the schema provides (e.g., it doesn't explain how 'maxExcerpts' affects output or provide examples). Baseline 3 is appropriate when the schema does the heavy lifting.

    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 the tool's purpose: 'Busca texto en los capítulos Markdown y devuelve enlaces a los capítulos con coincidencias' (Search text in Markdown chapters and returns links to chapters with matches). It specifies the verb (search), resource (Markdown chapters), and output (links to matching chapters). However, since there are no sibling tools mentioned, it cannot distinguish from alternatives, preventing a perfect score of 5.

    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 this tool versus alternatives. It does not mention any prerequisites, exclusions, or specific contexts for usage. With no sibling tools, there is no explicit comparison, but general usage context is still missing.

    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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  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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