plan_route

To get a deterministic route plan, use this skill to compute metrics and return a strict JSON schema containing the route name, distance_km, and eta_min. This ensures consistent routing outputs for automation scenarios.

Yes, deterministic route planning is ideal for logistics, delivery planning, and AI-assisted route evaluation. It enforces a strict output schema with distance_km and eta_min, providing consistent metrics for automated workflows.

The JSON output for route distance and ETA includes three strict fields: route, distance_km, and eta_min. This schema enforces consistent data structure for testing and integration.

No, this route planning skill requires no external dependencies or components to function. It natively computes the route, distance_km, and eta_min, returning a plain deterministic JSON result for testing.

A strict JSON schema for route metrics is needed to reduce manual calculation and prevent errors in automated workflows. By enforcing fields like distance_km and eta_min, the deterministic output guarantees consistent parsing and integration.

The best way to test route distance and ETA calculations is using a skill that supports a plain example result within a strict JSON schema. This provides deterministic distance_km and eta_min values for reliable testing.