Catalog CLI Pro

Run a specific query on a catalog. Recommended for drilling into issues found via catalog_scan_summary. Use limit and offset to paginate. Args: catalog_id: ID of the uploaded catalog query: Query name (e.g. "missing-attributes", "intent-bullets") limit: Max issues to return (default: 50) offset: Skip first N issues (default: 0) Returns: JSON string with query results

List catalogs uploaded to the user's Catalog CLI Pro account. Use this before saying whether a new CLR upload is visible. Catalog CLI Pro catalogs are account records, not ChatGPT File Library files. Args: limit: Max catalogs to return (default: 20) offset: Skip first N catalogs (default: 0) Returns: JSON array of catalogs with id, filename, status, sku_count, marketplace

List all available audit queries. Returns: JSON array of query objects with name and description

Scan a catalog with all or selected queries. Returns issues grouped by query. Results are limited to 50 issues per query by default. The total_issues field shows the true count. Use offset to paginate. For a lightweight overview, use catalog_scan_summary first. Args: catalog_id: ID of the uploaded catalog queries: Query names to run (omit for all queries) limit: Max issues to return per query (default: 50) offset: Skip first N issues per query (default: 0) Returns: JSON string with scan results including issues grouped by query

Get a high-level summary of all issues without individual issue details. This is the recommended first step when auditing a catalog. Returns issue counts and affected SKU counts per query. Use catalog_check to drill into specifics. Args: catalog_id: ID of the uploaded catalog queries: Query names to run (omit for all queries) Returns: JSON summary with per-query issue counts and affected SKU counts

Get schema for queries, request params, and response shapes. Args: query_name: Optional specific query to get schema for (omit for all) Returns: JSON schema describing available queries and their details