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aqara-docs

MySQL MCP Server

by aqara-docs
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v0.2.2

  • Disambiguation5/5

    Only one tool exists, so there is no ambiguity. An agent can easily identify the sole purpose of executing SQL queries.

    Naming Consistency5/5

    With a single tool, naming consistency is not a concern. The snake_case name 'execute_sql' is clear and follows a common convention.

    Tool Count2/5

    A MySQL server typically requires multiple tools for schema management, transaction control, and querying; a single tool feels insufficient for the scope.

    Completeness1/5

    The server is severely incomplete, lacking essential operations like listing tables, describing schemas, managing transactions, or handling multiple queries.

  • Average 2.9/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • No commit activity data available
    • 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.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

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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 are present, and the description does not disclose behavioral traits such as whether the tool modifies data, requires permissions, has rate limits, or handles errors. For a potentially destructive tool like SQL execution, this is a significant gap.

    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 with no superfluous words, making it concise. However, it lacks structured sections that would improve readability and scannability for an agent.

    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 complexity of SQL execution (potential for destructive actions) and absence of output schema, the description is incomplete. It does not mention return values, error handling, or security implications, leaving critical gaps for an agent to use the tool safely.

    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% (the single parameter 'query' has a description). The tool description adds no additional meaning beyond the schema, such as SQL syntax expectations or multi-statement handling. Baseline score 3 is appropriate.

    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 executes SQL queries on a MySQL server, providing specific verb and resource. However, it does not differentiate between query types (e.g., SELECT vs DML) but absence of sibling tools reduces need for differentiation.

    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 usage guidelines are provided. There is no indication of when to use this tool versus alternatives, nor any prerequisites or cautionary notes about query types or connection setup.

    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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