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Scored across 39 tools
The set covers many related resources, and several tools have subtly overlapping purposes: `build_dataset`, `create_enrichment`, `build_configured_dataset`, and `build_dataset_rows` all initiate dataset-like workflows, while `enrich`, `create_enrichment`, and `update_dataset` all touch column filling. The descriptions are very detailed and clarify most boundaries, but the distinctions still require careful reading.
Most tool names follow a clear snake_case verb_noun pattern (`list_datasets`, `get_dataset`, `update_monitor`, `run_extraction`), with predictable `list_`, `get_`, `create_`, `update_`, and `delete_` prefixes. A few names deviate, such as `enrich`, `help`, `scrape`, `quick_search`, and `runs_summary`, but they remain readable and mostly domain-specific.
With 39 tools, the surface is heavy for practical agent selection, spanning datasets, enrichments, runs, extractions, monitors, search, scraping, tools, and account operations. The domain is broad, but the number of closely related tools makes the set feel over-expanded rather than tightly scoped.
Core dataset and enrichment workflows are well covered with create/read/update/delete and row-level operations, and runs/search/monitors have substantial support. However, notable gaps remain: extractions lack list/update/delete tools, monitors lack a delete operation, and some lifecycle operations are only partially exposed.