DPF
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TDQS
Scored across 16 tools
Each tool maps to a distinct workflow step or resource (query, workspace, spec, job, trigger, connection), and the finish_* helpers are clearly paired with their initiating tools. The main ambiguity is between list_data and submit_query, though the descriptions explicitly disambiguate them.
Tool names are consistently snake_case and mostly verb-first, with clear patterns like finish_* pairing with onboard/update/run. The generic manage_ prefix on manage_connection and manage_trigger is a minor deviation from the more action-specific verbs used elsewhere.
At 16 tools, the set is slightly above the typical 3-15 range, but the tools cover multiple distinct workflows including workspaces, specs, jobs, triggers, and connections. The finish_* helpers add count but serve necessary asynchronous continuation steps.
The tool surface covers the core data integration lifecycle end-to-end: workspace creation, spec onboarding/update/delete, job processing, triggers, scheduled pulls, status polling, and SQL querying. Minor gaps like workspace deletion or job cancellation are not exposed, but call_dpf_api partially offsets this and billing is intentionally left to the web UI.