mapbox-location-grounding

What this skill does

# Mapbox Location Grounding Skill

Teaches AI assistants how to ground location-aware responses in live Mapbox data by composing MCP tools into a structured, cited answer. Use this instead of relying on training data for place names, POIs, ratings, or travel times — which are stale and prone to hallucination.

## When to Use Grounding

Ground responses when the user asks about:

- "What's near [location]?" or "What's around [coordinate]?"
- "Describe this neighborhood / area"
- "Find [category] within walking/driving distance"
- "What can I do near [address]?"
- "How long does it take to get from A to B?"
- "What's within a 10-minute walk of here?"
- "How far is it between these locations?"
- Real estate, travel, mobility, or local discovery use cases
- Any question where place accuracy, recency, or travel time matters

**Never answer location questions from training data alone.** Always retrieve live data.

## Grounding Tool Composition

### Preferred: single tool call

If `ground_location_tool` is available, use it — it handles reverse geocoding, POI search, place details enrichment, isochrone, and a static map image in one call:

```
ground_location_tool(
  longitude, latitude,
  query: "restaurant",   // optional — category or subcategory of nearby places to find
  profile: "mapbox/walking",    // optional — travel profile for isochrone
  contours_minutes: [5, 10, 15]
)
```

Returns:

- Neighborhood/place name from reverse geocoding
- Nearby POIs with distances, ratings, price levels, and popularity (when available)
- Travel-time reachability from isochrone
- A static map image for visual context
- Citations for all data sources

Do not call `reverse_geocode_tool`, `category_search_tool`, `place_details_tool`, or `isochrone_tool` separately — they are already composed inside this tool.

### Query parameter

The `query` parameter accepts **category or subcategory terms** — not attribute preferences:

- Supported: `"restaurant"`, `"coffee"`, `"park"`, `"Italian restaurant"`, `"EV charging station"`
- Not supported: `"family-friendly"`, `"fast charging"`, `"outdoor seating"` — these are not filterable attributes in Mapbox data

To help users find places matching a preference (e.g. "family-friendly"), search by category (`"restaurant"`) and use the returned rating and price data to inform the recommendation.

### Fallback: manual composition

If `ground_location_tool` is not available, build the grounded response by composing these tools in order:

#### Step 1 — Establish place context

```
reverse_geocode_tool(longitude, latitude, types: "neighborhood,locality,place")
```

Returns: neighborhood, city, region, country. This is the anchor for the response.

#### Step 2 — Retrieve nearby POIs

For specific names or brands:

```
search_and_geocode_tool(query, proximity: {longitude, latitude}, limit: 10)
```

For generic categories:

```
category_search_tool(category, proximity: {longitude, latitude}, limit: 10)
```

#### Step 3 — Enrich POIs with ratings and price (optional but high-value)

For each POI with a `mapbox_id`, call in parallel:

```
place_details_tool(mapbox_id, attribute_sets: ["visit"])
```

Returns: rating, price level, popularity, and opening hours per place.

#### Step 4 — Add travel-time context (optional but high-value)

```
isochrone_tool(
  coordinates: {longitude, latitude},
  profile: "mapbox/walking",    // or "mapbox/driving", "mapbox/cycling", "mapbox/driving-traffic"
  contours_minutes: [5, 10, 15]
)
```

Returns a polygon showing what's reachable within each time threshold.

#### Step 5 — Visual grounding (optional)

```
static_map_image_tool(longitude, latitude, zoom: 14)
```

Returns a map image that can be included in the response for visual context.

## Grounded Response Structure

Always structure grounded responses with explicit citations:

```
Place: [neighborhood, city from reverse_geocode]
Nearby [category]: [list from search/category tool, with names, ratings, prices, and distances]
Travel context: [X min walk / Y min drive from isochrone]
Sources: Mapbox Search, Mapbox Directions (live data)
```

Example grounded response:

> **SoMa, San Francisco, CA** (live Mapbox data)
>
> Restaurants within walking distance:
>
> - Bix Restaurant $$ ★8.4 — 56 Gold St (180m)
> - The Bird $ ★7.9 — 115 New Montgomery St (320m)
> - Oren's Hummus $$ ★8.1 — 131 Townsend St (510m)
>
> Reachable by walking: 5 min, 10 min, 15 min
>
> _Sources: Mapbox Geocoding API, Mapbox Search API, Mapbox Place Details API, Mapbox Isochrone API, Mapbox Static Images API_

## Routing Grounding

For questions about travel between two locations, use `directions_tool`. For questions about reachable area, use `isochrone_tool`. For comparing travel times across multiple locations, use `matrix_tool`.

### Point-to-point travel time and distance

> "How long does it take to drive from Pike Place Market to Capitol Hill?"
> "What's the fastest route from the hotel to the airport?"

```
directions_tool(
  waypoints: [{longitude, latitude}, {longitude, latitude}],
  profile: "mapbox/driving-traffic"   // live traffic; or "mapbox/walking", "mapbox/cycling", "mapbox/driving"
)
```

Returns: duration (with live traffic), distance, turn-by-turn steps, and an encoded polyline for map rendering. Supports up to 25 waypoints for multi-stop routes.

### Area reachability ("within X minutes")

> "What's reachable within a 10-minute walk?"
> "Show me what I can reach in 15 minutes by car from here"

```
isochrone_tool(
  coordinates: {longitude, latitude},
  profile: "mapbox/walking",
  contours_minutes: [5, 10, 15]
)
```

Returns a polygon showing the area reachable within each time threshold. Combine with `category_search_tool` or `ground_location_tool` to answer "what restaurants are within a 10-minute walk?" — use the isochrone to define the boundary, then search within it.

### Multi-location travel time matrix

> "Which of these three offices is closest to my location?"
> "What are travel times from this warehouse to each of our delivery zones?"
> "Compare commute times to multiple locations"

Use `matrix_tool` — **do NOT call `directions_tool` separately for each pair**. Matrix batches all pairs in a single API call.

```
matrix_tool(
  sources: [{longitude, latitude}, ...],
  destinations: [{longitude, latitude}, ...],
  profile: "mapbox/driving-traffic"
)
```

Returns a matrix of durations and distances between every source/destination pair. Rank results by duration to find the nearest location. One `matrix_tool` call replaces N separate `directions_tool` calls.

### Proximity search with routing context

For "find [category] within X minutes of [location]":

1. Geocode the origin if needed: `search_and_geocode_tool(address)`
2. Get the reachable area: `isochrone_tool(coordinates, profile, contours_minutes)`
3. Search for POIs: `ground_location_tool(longitude, latitude, query: "category")` — the isochrone
   contours tell the user what's within each time band

Or more directly: `ground_location_tool` returns both nearby POIs and isochrone reachability in one
call, which covers most proximity + routing use cases without additional composition.

### Example routing response

> **Pike Place Market → Capitol Hill, Seattle**
>
> By car (with traffic): 12 min, 3.2 km via Pine St
> By walking: 28 min, 2.1 km
> By cycling: 14 min, 2.3 km
>
> _Source: Mapbox Directions API (live traffic)_

## What Mapbox Grounding Offers vs. Training Data

|                    | Training Data       | Mapbox Grounding            |
| ------------------ | ------------------- | --------------------------- |
| POI accuracy       | Stale, hallucinated | Live, verified              |
| Ratings/price      | Often wrong         | Live via Place Details      |
| Business hours     | Often wrong         | Live via Place Details      |
| Travel times       | Estimated           | Live traffic via Directions |
| Reachable area     | Not available       | Isochrone polygons          |
| Multi-stop rou