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rasdaman

Rasdaman MCP Server

Official
by rasdaman
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Python
Hybrid

Server Quality Checklist

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

  • Latest release: v0.4.0

  • Disambiguation5/5

    With only one tool, there is no risk of confusion between tools. The tool's purpose is clearly distinct by default.

    Naming Consistency5/5

    The single tool name 'wcps_doc_chapters' follows a clear and descriptive convention (prefix_domain_suffix), which would be consistent if additional tools were added.

    Tool Count1/5

    A single tool that merely lists documentation chapters is insufficient for the server's implied scope (WCPS documentation). The server lacks the crucial tool to retrieve actual chapter content, making the tool count severely inadequate.

    Completeness1/5

    The server is incomplete: it provides a listing of chapters but no way to fetch the chapter content itself. The referenced tool 'wcps_get_chapter' is missing, creating a dead-end for agents.

  • Average 4.5/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 6 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 passing

  • 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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    {
  "$schema": "https://glama.ai/mcp/schemas/server.json",
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}

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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

  • Behavior3/5

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

    With no annotations provided, the description carries the full burden. It does not explicitly mention that the tool is read-only, safe, or has any side effects. However, the nature of listing chapters implies no destructive behavior, but this is not confirmed.

    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 concise with two sentences. The first sentence front-loads the main purpose, and the second adds valuable usage context. No unnecessary words.

    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?

    For a tool with no parameters and an existing output schema, the description fully covers what the tool does and when to use it. It also mentions the related tool (wcps_get_chapter), completing the workflow context.

    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?

    There are no parameters (0), so schema coverage is 100%. The baseline for 0 parameters is 4. The description appropriately omits parameter details as none exist.

    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's purpose: listing detailed WCPS documentation chapters. It uses the verb 'Lists' and specific resource 'WCPS documentation chapters', making the function unambiguous. Even without sibling tools, it is very clear.

    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 provides when to use this tool: 'Use when the crash course is not detailed enough' and after a failed query to consult the 'common-errors' chapter. This gives clear context and distinguishes its use case.

    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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