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iwaokimura

mcp-cinii

by iwaokimura
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Server Quality Checklist

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

  • Latest release: v0.1.0

  • Disambiguation5/5

    get_cinii_item retrieves a single item by ID, while search_cinii performs keyword-based searches with filters. These are clearly distinct operations with no overlap.

    Naming Consistency5/5

    Both tools follow a consistent verb_noun pattern (get_cinii_item, search_cinii) using snake_case, with 'cinii' as the common domain prefix.

    Tool Count5/5

    Two tools is appropriate for a focused academic search and retrieval server. It covers the essential operations without being too few or too many.

    Completeness4/5

    The tool set covers search with filtering and per-item retrieval. Minor gaps include lack of browse or citation export, but core functionality for accessing CiNii Research is well-covered.

  • Average 4.3/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 4 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

  • Behavior3/5

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

    No annotations are provided, so the description must fully disclose behavior. It covers parameters and return format, but omits potential issues like rate limits, authentication, or error conditions. It explains it's a search (likely read-only) but lacks depth.

    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 very concise, with a clear title sentence and well-structured Arg list. Every sentence provides useful information, and there is no unnecessary verbosity.

    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 the tool has 5 parameters and an output schema (though not shown), the description covers parameters well and states the return format. It lacks information on error handling or prerequisites, but for a search tool this is fairly 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% schema description coverage, the description adds significant meaning: it explains each parameter's purpose, defaults, valid ranges (e.g., count 1–200), and the resource_type options. However, it could be more detailed for enums or exact formats.

    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 action ('Search'), the resource ('CiNii Research'), and the scope ('academic articles, books, grants, and data'), distinguishing it from the sibling 'get_cinii_item' which likely retrieves a single item.

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

    Usage Guidelines3/5

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

    The description does not explicitly state when to use this tool versus alternatives. It implies broad search, but lacks direct comparison to 'get_cinii_item' or conditions for use.

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

  • Behavior4/5

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

    The description states the tool retrieves metadata and returns JSON-LD as a formatted string. Although no annotations are provided, the description sufficiently conveys that this is a read-only operation. It could mention error handling or rate limits but is adequate for a simple retrieval tool.

    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 and well-structured, using 'Args:' and 'Returns:' sections to separate parameter details and output information. Every sentence adds value without redundancy.

    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 the tool's simplicity, an output schema exists (mentioned), and the description covers required parameters, optional parameters with defaults, and the return format. It is complete for an agent to correctly invoke the tool.

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

    Parameters5/5

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

    With 0% schema coverage, the description fully compensates by explaining the item_id parameter (CRID, example, URL context) and the lang parameter (default, values). This adds substantial semantic value beyond the bare property definitions.

    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 'Retrieve metadata for a single CiNii Research item by its ID', specifying the action, resource, and scope. It implicitly differentiates from the sibling tool 'search_cinii', which presumably searches for multiple items, making the purpose unambiguous.

    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?

    The description indicates the tool is for retrieving a single item by ID, which implies usage when the ID is known. However, it does not explicitly contrast with the sibling 'search_cinii' or provide when-not-to-use guidance, so it falls short of a perfect score.

    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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  • Evaluate tool definition quality.

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