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Server Quality Checklist

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  • Latest release: v1.1.0

  • Disambiguation5/5

    publish_note and save_draft have clearly distinct purposes: one publishes immediately, the other saves a draft. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    Both tool names follow a consistent verb_noun pattern: publish_note and save_draft. The naming is predictable and uniform.

    Tool Count4/5

    With only 2 tools, the server is minimal but for a narrow purpose like posting notes, this is reasonable. It is slightly below the typical 3-15 range but each tool serves a distinct and necessary function.

    Completeness3/5

    The server covers the core publishing workflow (draft and publish) but lacks update, delete, or list operations. This is a notable gap for managing existing notes, though for a simple posting tool it may be acceptable.

  • Average 3.5/5 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 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

  • Behavior2/5

    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 states that the tool publishes automatically, but does not disclose authentication requirements, irreversibility, external side effects, potential failures, or rate limits. The state_path parameter appears only in the schema, not in the description.

    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, two sentences, with the core purpose front-loaded and no redundant filler. Every sentence adds meaningful information about the tool's behavior.

    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 complexity (9 params, no annotations, no output schema), the description covers core usage and paid-article settings but leaves gaps around authentication prerequisites, return values, error behavior, and relationship to save_draft. The schema is rich, which mitigates some missing context, but the description is not fully complete for an agent.

    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%, providing baseline value. The description adds extra semantic detail about price handling (front matter price or <!-- paid --> marker) and clarifies that markdown_path contains title, body, tags, and price settings, going beyond the schema descriptions.

    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 clearly states that the tool publishes an article to note.com using a Markdown file, specifying the verb and resource. The distinct action 'publish' implicitly differentiates it from the sibling 'save_draft', but the description does not explicitly reference the sibling or contrast the two.

    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 indicates how to use the tool (markdown_path, front matter price, paid line) and implies it is for publishing rather than saving a draft. However, it does not explicitly state when to prefer this tool over save_draft or any exclusions/alternatives.

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

  • Behavior2/5

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

    No annotations are provided, so the description must bear the full burden of behavioral disclosure. It only states that the tool reads a Markdown file and saves a draft, but it does not disclose that it likely requires authentication (evident from the state_path parameter), whether it is a mutating action that could overwrite existing drafts, or any side effects. The description lacks important behavioral context for a tool that writes to an external service.

    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, front-loaded sentence that clearly states the verb and resource. Every word contributes meaning, with no filler or repetition. It is concise and well-structured.

    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 annotations and output schema, the description is too minimal to be complete. It doesn't mention authentication requirements, potential errors, or what the tool returns. While the schema covers parameter definitions, the description does not provide enough operational context for an agent to use the tool safely and effectively, such as prerequisites (e.g., an existing authentication state file).

    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 all parameters already have descriptions. The tool description adds marginal value by explaining that the Markdown file contains the title, body, and tags, but the schema already mentions 'title, body, tags' for markdown_path. It adds no extra meaning for other parameters like timeout, state_path, screenshot_dir, or thumbnail_path, so it does not significantly surpass the schema 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 action ('saves a draft to note.com') and the resource ('from a Markdown file'). It specifies the full workflow of reading title, body, and tags. This clearly distinguishes it from the sibling tool 'publish_note' by the action of saving a draft versus publishing.

    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 implies the tool is for saving drafts, which provides clear context for when to use it. However, it does not explicitly mention when not to use it or name the alternative (e.g., 'Use publish_note to publish instead'). Since there are no exclusions or explicit alternative guidance, it falls short of a 5 but still offers clear usage context.

    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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