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Server Quality Checklist

67%
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  • Latest release: v2.1.1

  • Disambiguation5/5

    The two tools have completely distinct purposes: one generates a static Pix QR code, the other checks server health. No ambiguity or overlap exists.

    Naming Consistency4/5

    Both tools use camelCase, but one starts with a verb (generateStaticPix) and the other with a noun (healthCheck). Minor inconsistency but still readable.

    Tool Count2/5

    With only 2 tools, the server feels very thin for a Pix-related service, which typically includes dynamic Pix generation, key management, and administrative operations.

    Completeness2/5

    The server only covers static Pix generation and a health check, missing key functionality like dynamic Pix, Pix key validation, or transaction history, leading to significant gaps.

  • Average 3.7/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 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 is passing
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

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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?

    The description notes that the tool 'works without API credentials', which is a behavioral trait. However, it does not disclose what the tool returns (no output schema) or any side effects. Annotations are absent, so the description carries the burden, but it partially fails to describe the output or other 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 a single sentence that conveys the core purpose and a key benefit. It is front-loaded with the verb and resource, making it easy to scan. Every word adds value; there is no redundancy.

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

    Completeness2/5

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

    Given the lack of an output schema, the description should ideally mention what the tool returns (e.g., a QR code image or data). It does not. Additionally, with 4 required parameters, there is no guidance on their interrelations or constraints beyond the schema. The description is too brief for a tool that generates a QR code.

    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%, so the baseline is 3. The description adds no additional meaning beyond the schema's parameter descriptions. The tool name and description imply the parameters are needed, but no further semantic clarification is provided.

    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 verb 'Generate' and the resource 'static Pix QR code', with the qualification 'for any Pix key'. It also mentions a key benefit ('works without API credentials'), which further clarifies its purpose. The sibling 'healthCheck' is distinctly different, so no confusion.

    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?

    There is no explicit guidance on when to use this tool versus alternatives. The only sibling is 'healthCheck', which is clearly unrelated, but the description does not provide any context about when generating a static Pix QR code is preferable or any prerequisites. The benefit of no API credentials is mentioned but not framed as a usage guideline.

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

  • Behavior3/5

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

    No annotations provided, so description must cover behavioral traits. It states 'Check the health status' implying a read-only operation, but does not disclose details like side effects, network calls, or response format, which is minimal but acceptable for a simple 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?

    Single sentence, no wasted words, front-loaded with verb and resource. Perfectly concise.

    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?

    No output schema exists, so description should explain return value. It only says 'Check the health status' without detailing what the response contains (e.g., JSON, text, status codes). Adequate for a simple health check but lacking completeness.

    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?

    No parameters in input schema; schema coverage is 100% trivial. Baseline for 0 parameters is 4. Description adds no extra meaning, but it's not needed.

    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?

    Description clearly states verb 'Check' and resource 'health status of the Pix MCP server and providers'. It effectively differentiates from sibling tool 'generateStaticPix' which is for content generation, not health checking.

    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 implies usage for health checks but does not provide explicit when, when-not, or alternative guidance. For a simple health check, it's adequate but lacks context like 'use before making other calls'.

    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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