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Bakery Data MCP Server

by t2hnd
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    TDQS

    B3.4/5.0

    Scored across 7 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, with execute_sql for custom queries, get_schema for metadata, and specific query tools for different data types (departments, products, transactions). However, sales_summary and top_products could potentially overlap in functionality, as both provide aggregated sales insights, which might cause minor confusion in tool selection.

    Naming Consistency4/5

    The naming follows a consistent verb_noun pattern throughout, such as execute_sql, get_schema, query_departments, query_products, query_transactions, sales_summary, and top_products. There is a minor deviation with sales_summary and top_products using a noun-based naming style instead of a verb prefix, but overall the pattern is predictable and readable.

    Tool Count5/5

    With 7 tools, the count is well-scoped for a bakery data server, covering essential operations like custom queries, schema inspection, data querying, and analytics. Each tool earns its place without feeling excessive or insufficient, aligning well with the server's purpose of data management and analysis.

    Completeness4/5

    The tool set provides comprehensive coverage for querying and analyzing bakery data, including schema access, master data queries, transaction details, and sales analytics. A minor gap exists in the lack of data modification tools (e.g., update or insert operations), but this is reasonable given the read-only nature implied by descriptions, and agents can work around this for most analytical workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources