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Operational Ontology

by gura105
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    TDQS

    C2.9/5.0

    Scored across 34 tools

    Disambiguation4/5

    Most tools are cleanly separated by entity and operation; the search/get/union/intersect/subtract/aggregate families are unambiguous. The main confusion risk is between pivot_* and traverse_* tools, which cover the same relationships and differ only in set-input versus instance-input semantics.

    Naming Consistency5/5

    All tool names follow a consistent lowercase snake_case verb_noun pattern, such as search_customer, get_order, union_product, and add_order_note. Even the pivot/traverse variants are valid imperative verb+object names, so the naming convention is highly regular.

    Tool Count2/5

    34 tools is well above the comfortable range and feels inflated for four entity types and three relationships. Per-entity set operations, aggregation, and duplicate pivot/traverse variants add unnecessary surface area that could be consolidated.

    Completeness3/5

    The read/analysis surface is thorough: every entity has search, get, set operations, aggregation, and relationship traversal, with operational actions like cancel, assign, add note, and audit log access. However, there are notable lifecycle gaps such as no create/update/delete for core entities and no way to advance an order to shipped.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

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