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dreyfus92

Astro Docs MCP Server

by dreyfus92
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Server Quality Checklist

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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 single tool 'search_docs' has a clearly distinct and unambiguous purpose.

    Naming Consistency5/5

    The single tool name 'search_docs' follows a clear verb_noun pattern, and with only one tool, consistency is inherently perfect as there are no other names to compare against.

    Tool Count2/5

    A single tool for an 'Astro Docs MCP Server' feels too thin for the apparent scope. While search is a core function, documentation servers typically benefit from additional tools like browsing, filtering, or retrieving specific pages, making this count borderline inadequate.

    Completeness2/5

    The tool surface is severely incomplete for a documentation server. It only provides search functionality, lacking obvious gaps such as retrieving documentation pages, listing categories, or navigating content, which are essential for comprehensive agent interaction with documentation.

  • Average 2.9/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 0 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

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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 states the action but reveals nothing about how the search works (e.g., scope, ranking, pagination), what the output looks like, or any constraints like rate limits or authentication needs. This leaves significant gaps for a tool with undocumented behavior.

    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 at just three words, front-loading the essential action and resource without any wasted text. Every word earns its place, making it efficient and straightforward for an agent to parse.

    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 the lack of annotations and output schema, the description is incomplete for a search tool. It doesn't explain what the search returns, how results are structured, or any behavioral nuances, leaving the agent with insufficient context to use the tool effectively beyond the basic parameter.

    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 input schema has 100% description coverage, with the single parameter 'query' clearly documented as 'Search term to find in Astro documentation'. The description adds no additional parameter details beyond what the schema provides, so it meets the baseline for high schema coverage without compensating value.

    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 with a specific verb ('Search') and resource ('Astro documentation'), making it immediately understandable. However, with no sibling tools mentioned, there's no opportunity to demonstrate differentiation from alternatives, which prevents a perfect score.

    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, prerequisites, or contextual limitations. While the absence of sibling tools reduces the need for differentiation, it still lacks any usage instructions or exclusions, leaving the agent with minimal operational context.

    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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