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Server Quality Checklist

67%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'convert-contents' has a single, clearly defined purpose: converting content between formats.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'convert-contents' follows a clear verb_noun pattern, but with no other tools to compare, consistency is not an issue.

    Tool Count2/5

    The server is named 'Pandoc Document Conversion' and has only one tool. For a document conversion domain, a single tool is too few to provide comprehensive coverage, as it lacks specialized tools for different conversion scenarios or formats, making it feel thin and under-scoped.

    Completeness2/5

    The tool surface is severely incomplete for the domain of document conversion. While 'convert-contents' handles format conversion, there are obvious gaps such as tools for listing supported formats, validating input, batch processing, or handling metadata, which are common in such systems.

  • Average 4.7/5 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
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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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

  • Behavior5/5

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

    With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes behavioral traits such as installation prerequisites for PDF conversion, file path requirements, file location after conversion (e.g., saved in system temp directory if no path specified), and success message details. This covers critical operational aspects beyond basic functionality.

    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 is front-loaded with a clear purpose but includes extensive bullet points and examples, making it lengthy. While all information is relevant, it could be more streamlined; some details like installation steps and repetitive examples add bulk without always being concise. It earns its place but lacks optimal brevity.

    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 complexity (5 parameters, no output schema, no annotations), the description is highly complete. It covers purpose, usage guidelines, behavioral traits, parameter requirements, examples, and post-conversion actions. It compensates well for the lack of structured data, ensuring the agent has all necessary context to use the tool correctly.

    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?

    The schema description coverage is 100%, so the baseline is 3. The description adds significant value by explaining parameter semantics beyond the schema, such as the necessity of complete file paths for output_file in advanced formats, examples of usage, and clarification on when parameters are required (e.g., output_file for pdf, docx, etc.). However, it doesn't deeply elaborate on all parameter interactions beyond what's implied in the guidelines.

    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 as converting content between different formats, specifying it transforms input content from any supported format into a specified output format. It distinguishes between basic and advanced formats, providing specific examples like txt, html, markdown, pdf, docx, etc., making the verb+resource explicit and comprehensive.

    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?

    The description provides explicit usage guidelines, including critical requirements for PDF conversion (e.g., installing TeX Live), file path specifications (complete directory path, filename, extension), and when to use certain parameters. It offers correct and incorrect usage examples, specifies requirements for advanced formats, and details what to check after conversion, covering when/when-not scenarios thoroughly.

    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 there are no obvious security issues.
  • Evaluate tool definition quality.

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