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ndlaw

by jet52
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Python
Hybrid

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    Deploy Server
    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

    A3.8/5.0

    Scored across 40 tools

    Disambiguation3/5

    Many tools overlap in purpose: multiple opinion search entry points (search_opinions, search_faceted, search_boolean, search_by_case_type), several citation/treatment verification tools (verify_citation vs get_parallel_citations, check_treatment vs get_citing_opinions vs check_draft vs detect_overruled_in_draft), and two provision-construing tools (find_opinions_construing vs get_notes_of_decisions). The detailed descriptions help, but an agent still faces real selection risk across 40 tools.

    Naming Consistency4/5

    Tool names are uniformly snake_case and mostly follow a verb_noun pattern (get_*, search_*, lookup_*, verify_*). A few deviations (justice_info, case_summary, constitutional_amendments, more_like_this) are still readable and predictable.

    Tool Count2/5

    40 tools is well above the ideal 3–15 range and lands in the 'too many' band for a single server. The breadth reflects multiple corpora (opinions, primary law, AG opinions, JEAC opinions, figures/tables), but the sheer count increases surface area and selection burden.

    Completeness5/5

    The surface covers the legal-research lifecycle thoroughly: opinion search/retrieval, citation verification, treatment, quotation/pinpoint checks, authority lookup, history, cross-references, and dedicated AG/JEAC graphs, plus figures and tables. No obvious gaps for the stated ND-law domain.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources