list_domains
List all available domain packs (healthcare, finance, ecommerce, etc.). Domain packs provide specialized semantic type definitions for specific data domains.
get_domain_info
Get detailed info about a specific domain pack — lists all semantic types, their name hints, and suppression rules.
install_domain
Download a community domain pack from the goldencheck-types repository and save it for use in future scans.
analyze_data
Analyze a data file to detect its domain, profile columns, and recommend a scanning strategy. Returns domain detection, column count, row count, strategy decisions, and alternative approaches.
auto_configure
Scan a data file, triage findings by confidence, and generate goldencheck.yml content from the pinned findings. Optionally accepts constraints to filter or adjust the generated config.
explain_finding
Explain a single finding in natural language. Requires the finding as a JSON dict and the file_path to load a profile for context.
explain_column
Get a natural-language health narrative for a specific column. Scans the file, profiles the column, and explains all findings.
review_queue
List all pending review items for a given job. Returns items that need human decision (medium-confidence findings).
approve_reject
Approve (pin) or reject (dismiss) a review queue item. Decision must be 'pin' or 'dismiss'.
compare_domains
Scan a file with every available domain pack (plus base/no-domain) and compare health scores. Recommends the best-fitting domain.
suggest_fix
Preview fixes for a data file without applying them. Shows what would change (columns, fix types, rows affected, before/after samples).
pipeline_handoff
Generate a structured quality attestation JSON for a data file. Includes health score, findings summary, pinned rules, and attestation status (PASS, PASS_WITH_WARNINGS, REVIEW_REQUIRED, FAIL).
review_stats
Get review queue statistics for a job — counts of pending, pinned, and dismissed items.