Scored across 9 tools
Most tools are clearly distinct: generate_from_schema and generate_dataset both create data but via different input modes (schema vs story), which could cause some confusion. The remaining tools (validate_yaml, audit_dataset, validate_domain, inspect_schema, preview_story, list_domains, seed_database) each have a distinct purpose.
Tool names mostly follow a verb_noun pattern: generate_from_schema, validate_yaml, audit_dataset, validate_domain, generate_dataset, inspect_schema, list_domains, preview_story, seed_database. The pattern is consistent (verb + object), though generate_from_schema and generate_dataset are slightly redundant in naming style.
9 tools is well-scoped for a synthetic data generation platform. Each tool covers a distinct phase: schema definition, validation, generation, inspection, auditing, domain checking, and database seeding.
The tool surface covers the full lifecycle: design (generate_from_schema, preview_story, inspect_schema), validate (validate_yaml), generate (generate_dataset, seed_database), and verify (audit_dataset, validate_domain). Minor gaps include no explicit tool for editing/deleting generated datasets, but the core workflows are well covered.