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MCP SQL Agent

by sharansahu
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Python

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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 5 tools

    Disambiguation3/5

    Some tools have overlapping purposes that could cause confusion. 'describe_table' and 'get_schema' both provide table structure information, with 'get_schema' covering the entire database while 'describe_table' focuses on a specific table. 'list_tables' and 'search_tables' also overlap in table discovery functionality, though 'search_tables' adds keyword filtering.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with clear, descriptive names. The naming convention is uniform throughout: describe_table, get_schema, list_tables, query_data, and search_tables all use the same structure and are immediately understandable.

    Tool Count4/5

    Five tools is a reasonable number for an SQL agent, providing core database interaction capabilities without being overwhelming. The count feels slightly lean but covers essential operations for exploring and querying databases, though additional tools for data manipulation might be expected.

    Completeness3/5

    The toolset covers exploration and querying well but lacks data manipulation operations. There are no tools for creating, updating, or deleting tables or records, which are common SQL operations. The surface is complete for read-only database interaction but incomplete for full database management.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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