What problem does it solve? Finding specific records in Frontline tables and objects requires constructing JSON query conditions with the correct operators, field paths, and tag IDs, which is error-prone without a reference. ## Core Features & Use Cases - Condition Building: Construct single or nested AND/OR query conditions using operators for string, number, date, tag, relation, boolean, and formula fields. - Text Search and Sorting: Apply full-text search across fields and multi-level sort specifications via the --search and --sort flags. - Pagination and Record Type Filtering: Control result pages with --page and --page-size, and filter object records by numeric record type ID. - Use Case: Find all open deals worth over $10,000 linked to a company, sorted by amount descending, by composing a single frontline object record list command with a nested query JSON. ## Quick Start Ask the assistant to list all Frontline deals with status Open and amount greater than 10000, sorted by amount descending.