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Server Quality Checklist

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  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool accepts a different input source—local HTML/Markdown versus a public URL—so there is no overlap in usage. An agent can easily choose based on whether the content is available directly or needs to be fetched from the web.

    Naming Consistency4/5

    Both tool names are clear and descriptive, but 'generate_pdf' uses a verb-first pattern while 'pdf_from_url' leads with a noun, creating a slight inconsistency. The naming is still readable and understandable, so the deviation is minor.

    Tool Count3/5

    With only two tools, the server feels minimal for its purpose. It covers the two most common PDF generation scenarios but lacks additional options, making it borderline in terms of scope.

    Completeness4/5

    The server covers the essential workflows for PDF generation: creating from direct content or from a live URL. Missing features like advanced styling or batch processing are minor and not critical for the primary use case.

  • Average 4.2/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 112 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.

  • This repository includes a glama.json configuration file.

  • This server has been verified by its author.

  • Add related servers to improve discoverability.

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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

  • Behavior4/5

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

    With no annotations provided, the description carries the full burden. It discloses the output type (download URL), the one-hour validity, and the public-URL restriction. It does not mention error handling, timeouts, or rendering limitations, but these are not critical for a straightforward URL-to-PDF conversion. This is better than a bare 'Generate PDF from URL'.

    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 two concise sentences, front-loading the primary action and output. It avoids unnecessary details and earns every word, making it easy for an agent to parse quickly.

    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?

    The description covers the core flow (load page, render PDF, return temporary URL) and explicitly mentions the one-hour validity, which is essential context absent from the schema. It does not describe failure modes or rate limits, but given the rich schema and simple interface, this is reasonably complete. The lack of an output schema is compensated by the description of the return value.

    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?

    Schema coverage is 100%, so the baseline is 3. The description adds no additional meaning beyond what the schema already provides for each parameter. The optional formatting parameters (format, margin, landscape, etc.) are adequately documented in the schema and the description doesn't add context about their interactions.

    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 uses a specific verb-resource pair: 'loads a public web page and renders it to PDF' and clearly states the output (download URL). It distinguishes from the sibling tool 'generate_pdf' by explicitly naming the input source (public URL) and the output behavior.

    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?

    It provides a clear constraint ('Only public http/https addresses are allowed') which informs the agent about valid inputs, but it does not explicitly state when to use this tool vs the sibling 'generate_pdf' or mention any alternative usage scenarios. The guidance is mostly about prerequisites, not comparative usage.

    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?

    With no annotations, the description carries the full burden. It discloses a key behavioral trait: the download URL is 'valid for one hour.' It also explains the input constraint (exactly one of html/markdown) and Markdown's clean styling. It does not mention error handling or what happens if both inputs are provided, but it covers the most important behaviors.

    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 two sentences, front-loaded with the main action, and every sentence adds value. There is no redundant information or filler, making it highly concise and well-structured.

    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 8 parameters and no output schema or annotations, the description covers the core behavior (rendering and URL expiry) and the key constraint (one input). It does not enumerate all parameters, but the schema already describes them. The only minor gap is that the schema lists no required parameters while the description implies a required choice, but this is not a description deficiency.

    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?

    Schema description coverage is 100%, so baseline is 3. The description adds value beyond the schema by clarifying the mutual exclusivity of html and markdown ('Provide exactly one of'), which is not enforced in the schema. It also gives context on Markdown's default styling. This raises the score above baseline.

    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 function: 'Renders HTML or Markdown into a PDF and returns a download URL valid for one hour.' This is a specific verb+resource+output, and the input types (HTML/Markdown) distinguish it from the sibling tool pdf_from_url.

    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 provides clear context on how to use the tool: 'Provide exactly one of html or markdown.' It also gives a practical tip about Markdown being quickest due to the default stylesheet. However, it does not explicitly mention when to use this tool versus pdf_from_url, so it stops short of full exclusion guidance.

    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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Glama performs regular codebase and documentation scans to:

  • 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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