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Scored across 25 tools
Many tools address similar metrics (revenue, churn, merchant value) with subtle differences, e.g., get_churn_analysis vs get_churned_merchants vs get_churn_risk, and get_revenue_summary vs get_mrr_movement vs get_transactions. While descriptions help, an agent may struggle to pick the right tool without careful reading, and get_churned_merchants largely overlaps with get_merchants(status='churned').
24 of 25 tools follow the get_<metric> pattern with consistent snake_case. The sole exception is discover_apps, which uses 'discover' instead of 'get_'. This minor deviation is easy to adapt to, but prevents a perfect score.
25 tools is at the high end of the 'heavy' range (16-25). Each tool covers a distinct metric, but many revenue/churn tools could be consolidated (e.g., revenue_summary, mrr_movement, payout_report, transactions). The breadth is justified by the domain, but the count feels excessive.
The tool set covers core partner analytics comprehensively: revenue, churn, retention, LTV, forecasts, merchant health, events, and funnels. It lacks any write/management operations (e.g., updating app settings) and some minor analytics gaps (no period-over-period comparisons in many tools, no data export), but these are workarounds.