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Server Quality Checklist

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  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool maps to a distinct SQL operation (SELECT, INSERT, UPDATE, DELETE) with no functional overlap. Misselection is impossible because the actions are mutually exclusive.

    Naming Consistency5/5

    All tool names are single lowercase verbs that directly match their SQL counterparts, forming a perfectly consistent and predictable pattern.

    Tool Count5/5

    Four tools precisely cover the core CRUD operations for a database server without redundancy or excessive granularity, matching the expected scope.

    Completeness5/5

    The tool surface provides full coverage of data manipulation (create, read, update, delete) with no obvious gaps. Additional schema or transaction management is outside the stated read/write mode scope.

  • Average 4.6/5 across 4 of 4 tools scored.

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

    • No community issues in the last 6 months
    • 8 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
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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

  • Behavior4/5

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

    While no annotations are provided, the description discloses key behavioral traits: the mode-dependent availability (PERMISSION_DENIED in readonly mode) and the return values (affected row count and last insert id). It also provides security guidance on parameterization, which is essential for agent behavior.

    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 two sentences, front-loaded with the primary purpose, followed by mode restriction and security guidance. Every sentence earns its place; no filler or redundancy.

    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?

    The tool has an output schema, which may explain return values, so the agent knows what to expect. The description covers the key semantics: the operation and parameterization. It gives clear guidance on mode requirements and security, which is sufficient for a tool with only two simple parameters and an output schema.

    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?

    The schema has 0% description coverage, so the description must compensate. It does explain the purpose of `query` (the INSERT statement) and `params` (values for placeholders), but it doesn't detail the exact types or format expectations beyond mentioning placeholders. The baseline is 3 because the description adds some meaning but not fully.

    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 the tool's purpose: to execute an INSERT statement and return the affected row count and last insert id. It distinguishes itself from siblings (select, update, delete) by naming the specific SQL operation, though it could explicitly contrast with siblings.

    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 usage context: only available in 'readwrite' mode, and it warns against concatenating user-supplied values, instructing to use placeholders. It does not explicitly mention when not to use it (e.g., for other SQL operations), but the sibling names make that clear.

    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?

    With no annotations provided, the description carries the full burden. It discloses the read-only safety profile, availability, and the critical placeholder requirement. It does not mention error behavior, transaction details, or return format, but the output schema covers return values. It adds meaningful context beyond what annotations would provide.

    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 three concise sentences, each adding value: purpose, availability, and security guideline. It is front-loaded with the core purpose and contains no redundant or filler content.

    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 tool (2 parameters, no nested objects, output schema present), the description covers purpose, read-only nature, availability, and placeholder usage. It is complete for a SELECT tool and the output schema handles return value documentation. No significant gaps remain.

    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 0%, so the description must compensate. It explains that `query` is a SQL statement with %s placeholders and that `params` holds the substitution values, clarifying the relationship between the two parameters. It does not enumerate all parameter types, but the schema is simple and the guidance is sufficient.

    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 explicitly states 'Execute a read-only SELECT (or WITH ... SELECT) statement and return matching rows,' which is a specific verb+resource+scope. It clearly distinguishes from the sibling tools insert, update, and delete by emphasizing the read-only nature.

    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 clear usage context: always available regardless of MYSQL_MODE, and the requirement to use %s placeholders with params rather than concatenating values. It implies this is for read queries while siblings are for writes, but does not explicitly name alternatives or exclusion scenarios.

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

  • Behavior5/5

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

    With no annotations provided, the description carries full burden. It discloses the readwrite/readonly mode behavior, the warning flag for DELETE without WHERE, and the security requirement to use placeholders. These are significant behavioral traits beyond what the schema shows.

    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 three sentences, each earning its place: core function, mode restriction, warning, and security guideline. No fluff or repetition.

    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?

    For a deletion tool with output schema present, the description covers the essential aspects: return value (row count), mode availability, dangerous no-WHERE behavior, and parameter usage. It is sufficiently complete for an agent to use correctly.

    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 0%, so the description must explain both parameters. It does so by clarifying that `query` is a DELETE statement with %s placeholders and `params` provides values, plus warns against concatenation. This adds substantial meaning beyond the basic schema type definitions.

    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 it executes a DELETE statement and returns the affected row count. This distinguishes it from sibling tools select, insert, and update by specifying the exact SQL operation.

    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?

    Explains the tool is only available in 'readwrite' mode and rejected with PERMISSION_DENIED in 'readonly' mode, providing clear context for when it can be used. Does not explicitly compare to alternatives, but the purpose and mode restrictions give sufficient guidance.

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

  • Behavior5/5

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

    The description reveals several behavioral traits: returns affected row count, is rejected in readonly mode, warns when no WHERE clause (affects all rows), and enforces parameterized queries. These go beyond the schema and give a clear picture of the tool's behavior and side effects.

    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 compact yet information-dense, with each sentence serving a specific purpose: purpose, mode condition, warning, and security guideline. It is well-structured and front-loaded, with no redundant or filler content.

    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 operation, mode constraints, warning behavior, and security practice, the description covers all essential aspects for using the tool correctly. It specifies the return value (affected row count) and does not leave critical gaps; it is complete for the context of an UPDATE tool.

    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?

    The description clarifies the meaning and relationship of the parameters: query is an UPDATE SQL statement, params are values for placeholders, and %s placeholders must be used. This adds significant semantic detail beyond the bare schema, which only lists query and params as types.

    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 executes an UPDATE statement and returns the affected row count, which is distinct from the sibling tools (select, insert, delete). The verb 'execute' and resource 'UPDATE statement' are specific and unambiguous.

    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 conditions for usage—only in readwrite mode, with a warning for missing WHERE clause—and gives security guidance (use %s placeholders, never concatenate user-supplied values). However, it does not explicitly contrast with when to use insert or delete, so it stops short of complete alternative differentiation.

    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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