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Scored across 22 tools
Most tools occupy distinct niches: purpose-built analytics (trial_balance_by_period, open_items_ageing, grir_differences, account_determination, pricing_procedure) are clearly separable, and descriptions explicitly steer choices (read_sap_table 'FIRST CHOICE', aggregate for totals, describe for field names). Minor overlap remains between query_entity (OData) and read_sap_table (Open SQL/SE16) and between find_duplicates and aggregate_sap_table with group_by, but the descriptions disambiguate them adequately.
All names are lowercase snake_case, giving a predictable surface. However the convention mixes verb_noun (list_services, query_entity, read_sap_table, run_sap_report) with bare noun phrases for report-style tools (grir_differences, trial_balance_by_period, token_budget, condition_types), which is a readable but noticeable deviation rather than a single unified pattern.
22 tools is on the high side of the ideal range, but each maps to a genuinely distinct SAP capability (connectivity/auth, metadata discovery, generic table access, aggregation, and several packaged finance/MM analyses). Nothing looks like filler, though a couple of generic query tools could in principle be folded together.
The surface covers the full read/analysis lifecycle: environment and login management, service and table metadata, raw and aggregated reads, duplicate detection, targeted finance/MM reports, report discovery/execution, and attachment retrieval. Gaps are mainly by design (no write/update/post operations, no master-data lookup helpers), which agents can work around via read_sap_table and run_sap_report.