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Jcurrin27

peoplesoft

by Jcurrin27
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Python

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    TDQS

    B3.4/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: describe_table/list_tables are schema introspection, query_peoplesoft_db is raw SQL, and the rest are semantic domain queries. However, check_project_billing_setup overlaps somewhat with get_project_contracts and list_contracts in coverage of the project/contract/bill-plan relationship, and the schema-inspection tools (describe_table, list_tables) somewhat duplicate what the semantic tools already encapsulate.

    Naming Consistency4/5

    Naming follows a mostly consistent verb_noun pattern: describe_table, list_tables, list_projects, list_contracts, get_project_contracts, get_bill_plan. Minor deviations exist such as query_peoplesoft_db, check_project_billing_setup, and the verbose cost_reimbursable_billable_transactions, which break the tight verb_noun convention but are still readable and descriptive.

    Tool Count4/5

    9 tools is within the well-scoped 3-15 range. The count is reasonable for a PeopleSoft contracts/billing domain, though there is some redundancy—the low-level SQL/schema tools (describe_table, list_tables, query_peoplesoft_db) plus the four semantic getters make the surface feel slightly overlapping rather than lean.

    Completeness3/5

    The read-side surface is well covered: projects, contract lines, bill plans, billing setup diagnostics, and billable transaction summaries are all represented. However, the server is entirely read-only—there are no create/update/delete operations for any resource, which is acceptable for a query/data-analysis server but means lifecycle coverage is intentionally partial rather than complete.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources