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Server Quality Checklist

67%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool has a distinct purpose: listing supported TLDs, refreshing the server list, and performing WHOIS lookups. There is no functional overlap, so agents can easily select the correct tool.

    Naming Consistency4/5

    All tool names use snake_case with a verb-noun structure (list_supported_tlds, refresh_whois_servers). whois_lookup deviates slightly by placing the verb at the end, but the pattern is still clear and consistent overall.

    Tool Count5/5

    Three tools is well-scoped for a WHOIS lookup service. Each tool serves an essential function with no redundancy or bloat, striking an appropriate balance for the domain.

    Completeness5/5

    The tool set covers all necessary operations: querying supported TLDs, updating the server list, and performing lookups. No obvious gaps exist for the core functionality of a WHOIS lookup service.

  • Average 3.9/5 across 3 of 3 tools scored.

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

    • No community issues in the last 6 months
    • 1 commit 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

  • Behavior3/5

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

    No annotations provided; the description mentions querying authoritative WHOIS servers and supporting 1,260+ TLDs, but lacks details on rate limits, error handling, or data completeness. Some behavioral context is present but insufficient.

    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?

    Two concise sentences: first states the action, second details the output and scope. No superfluous information, well front-loaded.

    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?

    For a simple tool with two parameters and no output schema, the description covers the main functionality and supported TLDs. It could mention response format or potential delays, but overall is adequate for the complexity.

    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?

    Both parameters are fully documented in the input schema (100% coverage). The description adds no additional meaning beyond what the schema already provides, meeting the baseline for schema-rich tools.

    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 performs WHOIS lookups for domain registration details, specifying the protocol and supported TLD count. It distinguishes from sibling tools (list_supported_tlds, refresh_whois_servers) implicitly.

    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 explains what the tool does but does not explicitly specify when to use it over alternatives or mention exclusions. Given the sibling names, usage context is implied but not explicit.

    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?

    No annotations provided; description clearly states it returns the complete list, with no destructive or side effects implied. It lacks details on output format but is still informative.

    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?

    Two concise sentences with front-loaded purpose, no wasted words.

    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?

    For a simple listing tool with one optional parameter, the description is adequate. Could mention return type (e.g., list of strings) but not required.

    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%, and the description does not add new information about the limit parameter beyond what the schema already provides.

    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 specific verb and resource: 'List all supported TLDs', and contrasts with siblings: refresh_whois_servers and whois_lookup, which have different purposes.

    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 before whois_lookup by stating it lists TLDs that can be queried, but does not explicitly state when to use or alternatives.

    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 are provided, so the description carries full burden. It describes the behavior (fetching from IANA, updating server list) and implies it is a safe update operation. However, it does not disclose potential side effects (e.g., clearing existing list), duration, or authentication needs, leaving some behavioral gaps.

    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?

    Three sentences with high information density. The first sentence states the core action, the second explains the purpose, and the third provides usage guidance. No extraneous text.

    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 zero parameters, no output schema, and a simple action, the description is mostly complete. It explains what the tool does and when to use it. However, it could mention any return value or confirmation, but lacking an output schema reduces the need.

    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 tool has zero parameters with 100% schema description coverage, so baseline is 4. The description does not need to add parameter details. It appropriately focuses on the tool's action without redundant parameter information.

    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?

    Clearly states the action: 'Refresh the WHOIS server dictionary by fetching the latest TLD list from IANA.' This verb-resource pairing is specific and distinguishes it from sibling tools like list_supported_tlds and whois_lookup, which have different purposes.

    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?

    Provides advice to 'Run this periodically to ensure the server list is up-to-date,' which suggests a maintenance use case. However, it lacks explicit guidance on when not to use it or alternatives. The instruction is vague and does not specify frequency or prerequisites.

    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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  • Evaluate tool definition quality.

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