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mcp-data-agent

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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4/5.0

    Scored across 3 tools

    Disambiguation5/5

    The three tools target clearly distinct operations: listing tables, describing a single table's schema, and executing a SELECT query. There is no overlap between schema discovery and query execution, so an agent can easily select the right tool.

    Naming Consistency5/5

    All tools follow a consistent snake_case verb_noun pattern: list_tables, describe_table, run_query. The convention is predictable and readable throughout.

    Tool Count5/5

    Three tools is a tight, well-scoped surface for a read-only data agent: each tool earns its place and covers a necessary stage of exploration. There are no redundant or filler tools.

    Completeness4/5

    The surface covers the core read-only workflow: discover tables, inspect schema, then query data. Minor gaps like schema/table search or query plan explanation exist, but agents can work around them with the provided tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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