Tools are mostly distinct: health, list datasets, submit NL query, retrieve result, and execute SQL. The only slight overlap is between 'dataprobe_ask' and 'dataprobe_get_ask_result', but 'ask' includes polling and 'get_ask_result' is for fetching by ID, so the boundary is clear.

All names share the 'dataprobe_' prefix and use snake_case, which is consistent. However, 'dataprobe_ask' is a bare verb and 'dataprobe_health' is a noun, deviating from the verb_noun pattern seen in list_datasets, get_ask_result, and query_sql.

With 5 tools, the surface is tightly scoped for a data query service. It covers health, dataset discovery, natural-language querying, result retrieval, and SQL execution without unnecessary bloat.

Core workflows are covered: checking health, listing datasets, submitting and retrieving ask results, and running SQL. Minor gaps like a cancel operation or dataset schema access are missing but do not hinder the primary query/retrieve pattern.