openbusdata
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TDQS
Scored across 16 tools
Several tools have overlapping scopes, like multiple dataset listing tools (Data_set_api_v1_fares_dataset and timetables_api_v1_dataset) and real-time feed tools (get_live_buses_on_route and SIRI_VM_Data_feed_api_v1_datafeed). While they target different data types (fares vs timetables, route-level vs feed-level), the names are similar and could confuse an agent.
Naming is highly inconsistent: some tools use snake_case (find_buses_by_arrival_time), some use camelCase (Data_set_api_v1_fares_dataset), and others use a mix (GTFS_RT_Data_feed_api_v1_gtfsrtdatafeed). There is no consistent pattern, making it hard to predict tool names.
16 tools is reasonable for a comprehensive bus data API covering fares, timetables, real-time, disruptions, and planning. It is slightly on the high side but still well-scoped for the domain.
The tool set covers core bus data operations: dataset discovery, stop search, route lookup, timetables, real-time positions, cancellations, disruptions, and journey planning. Minor gaps exist (e.g., no fare calculation), but the overall coverage is good.