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1595901624
by 1595901624

Server Quality Checklist

67%
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 'qrcode' has a clear and distinct purpose of generating QR code images, making disambiguation trivial.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'qrcode' follows a simple, descriptive pattern, and there are no other tools to compare it against for inconsistency.

    Tool Count2/5

    A single tool is too few for most practical server purposes, as it limits functionality and flexibility. While it might suffice for a minimal QR code generator, typical servers benefit from multiple tools to handle related operations, such as decoding or customizing QR codes.

    Completeness2/5

    The tool surface is severely incomplete for a QR code domain. It only provides generation, missing essential operations like decoding QR codes, customizing appearance, or handling different formats, which are common in such tools and could lead to agent failures in broader tasks.

  • Average 3.1/5 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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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 full burden. 'Generate a QR code image' implies a creation operation but doesn't disclose behavioral traits like whether this is a read-only generation, if it requires external resources, what happens with invalid inputs, or the format of the returned image. For a tool with 6 parameters and no annotation coverage, this is inadequate.

    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 a single, efficient sentence with zero waste. It's appropriately sized for a straightforward tool and front-loads the core purpose without unnecessary elaboration.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool's moderate complexity (6 parameters, no output schema, no annotations), the description is minimally adequate but incomplete. It states what the tool does but lacks context about the generated output (e.g., image format, return type), error handling, or performance considerations, leaving gaps for the agent.

    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 description coverage is 100%, with all parameters well-documented in the schema itself. The description adds no additional parameter information beyond implying 'text' is needed for generation. This meets the baseline of 3 since the schema does the heavy lifting, but doesn't provide extra context like typical text lengths or color format expectations.

    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 'Generate a QR code image' clearly states the verb 'Generate' and resource 'QR code image', making the purpose immediately understandable. However, it lacks specific differentiation from potential siblings (though none exist in this context), and doesn't specify output format or medium, keeping it from 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 typical use cases. With no sibling tools, this is less critical, but still leaves the agent without context about appropriate scenarios for QR code generation.

    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.
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  • Evaluate tool definition quality.

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