You are helping me build the following AI agent workflow.

## Goal
Enrich GPS Coordinates With Location And Weather Data: Pass GPS coordinates to a webhook and get back address, timezone, live weather, sun times, and icons in under three seconds.

## Specification
- What it does: Receives GPS coordinates via a webhook and parallel fetches address, timezone, weather, and sun data from free APIs. Merges the responses into a single JSON object with 28 enriched fields including detailed location components and visual assets. Returns the structured data in under three seconds for use in tracking or analytics apps.
- Trigger: Triggered by an event (Event · on webhook request with coordinates)
- Autonomy: Fully hands-off
- Expected setup effort: under an hour
- Tools/services involved:
  - HTTP Request: Receive webhook and call external APIs
  - OpenWeatherMap: Fetch live weather data

## Known pitfalls, handle each one explicitly in your implementation
1. OpenWeatherMap free tier limits requests heavily so implement caching to avoid hitting rate caps during peak traffic.
2. TimezoneDB may return incorrect offsets near political borders so validate timezone data against known geographic boundaries.
3. Sunrise-Sunset API lacks detailed weather context so cross-reference with OpenWeatherMap to ensure consistent visual asset generation.

## Reference implementation
https://n8n.io/workflows/13411 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/enrich-gps-coordinates-with-location-and-weather-data/ via usecasesforagents.com