What makes a scheduling task a good target for an agent benchmark?

A scheduling task earns its place in a benchmark when it tests a decision, not only arithmetic. Check candidate tasks against these points:

- **Deterministic end state.** Totals, dates and statuses can be recomputed from the starting records and the policy. - **At least one governing rule.** A cap, a cut-off, a rounding convention or an approval threshold constrains the answer. - **More than one record changes.** The schedule, its lines and a linked note or approval must all end consistent. - **A tempting wrong path.** There is a plausible shortcut, such as editing the date directly instead of version-superseding the schedule. - **Some tasks should end in refusal or escalation.** The right action is sometimes to decline, or to route to an approver. - **Ambiguity is resolvable from the records.** A missing detail can be found in the case history rather than guessed. - **Time matters.** The result depends on the as-at date, weekends, public holidays or cycle cut-offs. - **Partial credit is meaningful.** Separate checks for amounts, dates, policy and communication show where an agent breaks.

A task pack that meets most of these gives evaluation teams diagnostic results rather than a single pass rate. Generated records can be built to include these properties on purpose, and a buyer should inspect how well the grounding supports each one.