Returns the full operating context for the course: tee-sheet summary, inventory, booking and pricing policies, events, weather, pace risks, recent decisions, and learning insights. An agent should call this before acting.

Finds available tee times near a preferred time. Never returns protected, booked, or blocked inventory as bookable.

Checks whether a booking is allowed, blocked, risky, or warns based on policy and learned memory. Writes a decision event to the ledger.

Checks whether a quoted or discounted price is allowed, given the absolute floor, time-window rate, discount limits, approval rules, and learned pricing patterns. Writes a decision event.

Creates a temporary hold on a tee time before confirmation. Marks the slot as soft_hold on the tee sheet.

Logs a decision event to the ledger. Most decision tools write their own events; this tool is for agents that want to log an action directly.

The learning tool. Attaches an outcome to a past decision and updates SCP's learning memory so future similar decisions improve.

Returns what SCP has learned: lessons, operator preferences, pricing and pace patterns, and similar past decisions. Optionally filtered to a decision fingerprint key.

Explains a decision result for a chosen audience: golfer (simple, no internal language), operator (operational detail), or developer (structured detail).