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htlin222
by htlin222

Server Quality Checklist

67%
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  • Latest release: v1.2.2

  • Disambiguation5/5

    Each tool targets a distinct operation: adding cards, retrieving due cards, retrieving new cards, and updating card status. No overlap in functionality.

    Naming Consistency5/5

    All tool names follow a consistent 'verb_noun' pattern (add_card, get_due_cards, get_new_cards, update_cards) using snake_case, making them predictable and easy to understand.

    Tool Count5/5

    With 4 tools, the set is appropriately scoped for a flashcard management server, covering essential operations without unnecessary bloat or gaps.

    Completeness4/5

    The tools cover the core lifecycle of creating, retrieving, and updating flashcards. Missing a delete operation or deck management, but the set is functional for basic use.

  • Average 3.7/5 across 4 of 4 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 provided. The description only states the function without disclosing behavioral traits such as order, caching, or side effects. Minimal transparency beyond purpose.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single sentence, concise and direct. However, it could be slightly improved by including additional context without becoming verbose.

    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?

    No output schema, so the agent lacks information about the return format. The description does not mention ordering, limits, or defaults. For a data-retrieval tool, more completeness is needed.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters2/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    The schema already describes the parameter 'num' as 'Number of due cards to get'. The tool description does not add any extra meaning, such as constraints, defaults, or edge cases. Schema coverage is 100% but the description adds no value.

    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 specifies the tool returns cards due for review, with a parameter for count. It distinguishes from siblings like get_new_cards (new cards) and update_cards (updates), making the purpose unambiguous.

    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?

    No explicit guidance on when to use this tool versus alternatives. The description implies usage for retrieving due cards but does not mention when not to use or provide comparisons to sibling tools.

    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 carries the full burden of disclosing behavioral traits. It does not mention side effects (e.g., whether the cards are marked as seen), authentication needs, rate limits, or any other behavioral characteristics beyond the basic return action.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single, concise sentence with no wasted words. It is appropriately front-loaded. However, it could be slightly more informative without sacrificing conciseness.

    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?

    For a simple tool with one parameter and no output schema, the description is adequate. It explains the core function but lacks context about retrieval behavior (e.g., whether cards are returned in a specific order, what happens when fewer cards are available).

    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 for parameter 'num' is 100% (it has a description). The tool description adds minimal meaning beyond the schema, specifying that the parameter controls how many 'new and unseen' cards are returned. However, it does not clarify the selection criteria, ordering, or what 'new' or 'unseen' mean precisely.

    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 that the tool 'returns a given number (num) of new and unseen cards.' The verb 'returns' identifies the action, and the resource 'new and unseen cards' distinguishes it from sibling tools like get_due_cards (due cards) and add_card/update_cards (mutations).

    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?

    No explicit guidance on when to use this tool versus alternatives. The description does not mention when the user should prefer get_new_cards over get_due_cards or other siblings, nor does it provide any context about prerequisites or constraints.

    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 exist, so description bears full burden. It discloses that the tool marks answered and updates ease, but omits details like idempotency, side effects, or required permissions. Minimal but not misleading.

    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, front-loaded with action and condition. No redundant words. Efficiently conveys core functionality.

    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, so return value is unstated. The description covers the action but lacks information on result feedback or error conditions. Adequate for simple update but not fully comprehensive.

    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?

    Input schema already describes both parameters (cardId and ease with ease range). Description adds no additional meaning beyond what schema provides. With high schema coverage, baseline 3 is appropriate.

    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 'mark them answered and update their ease' targeting specific resource 'cards'. Distinguishes from siblings like add_card (add) and get_due_cards/get_new_cards (fetch) by focusing on post-answer update.

    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?

    Explicitly states when to use: after user answers cards. Does not list when not to use or alternatives, but context with sibling tools implies purpose is unique. Slightly lacks exclusion guidance.

    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 are provided, so the description carries the full burden. It discloses that the tool creates a card and requires HTML formatting, with detailed rules. It does not mention other behavioral traits like side effects or auth, but the core behavior is clear.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is front-loaded with the main purpose, then provides necessary detailed formatting rules. It is slightly lengthy but justified by the complexity of HTML formatting requirements.

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

    Completeness5/5

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

    Given the simple two-parameter schema and no output schema, the description covers purpose, usage, and formatting details comprehensively, enabling correct tool invocation.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters5/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%, and the description adds meaning by reinforcing that both parameters must use HTML formatting, along with extensive formatting examples that go beyond the schema.

    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 'Create a new flashcard in Anki for the user.' with a specific verb and resource, and the sibling tools (get_due_cards, get_new_cards, update_cards) are distinct actions, making it easy to differentiate.

    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 explicit formatting rules and states 'Must use HTML formatting only.' It implicitly indicates usage for creation but does not explicitly say when not to use or compare with siblings.

    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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