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glassmap.clyeh.xyz

glassmap.clyeh.xyz

live Unverified (seed import) Travel & Events 15 tools mixed implementation

An agent-native web map: WebMCP turns the map canvas into a semantic surface.

First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com

Answer 7 · Act 8 · Transact 0 · Score: Not yet scored

Tool inspector

describe_surroundings

answer imperative

Describe what is around a point the way a person would say it out loud: the district it is in, and the nearby features grouped by compass direction, nearest first, each with its feature id, name and distance in metres. Pass an id straight to select_features or set_map_view to act on something you just described. Use this to answer "what is around me?" or "what is near this listing?" without a screenshot. When from named an id or a place, name is the place it resolved to, so you can check it is the one you meant. total is how many features are inside radius_m, returned is how many are described (at most 30, the nearest ones): when total is larger, narrow radius_m or use find_features with a category filter - widening the radius will not reveal the ones that were left out.

Input schema

PropertyTypeRequiredDescription
from — no Where to look from: a coordinate, a feature id from an earlier call, or a place name. Omit to describe the surroundings of the centre of the current view.
radius_m number no How far to look, in metres (default 500, roughly a five-minute walk; at most 10000).
categories array no Which categories to describe. Always in memory: mrt_station, park, school, supermarket, listing, district. Points of interest, fetched for the whole city the first time you name one and kept for the rest of the session: restaurant, cafe, fast_food, bakery, bar, convenience, pharmacy, clinic, hospital, place_of_worship, bank, hotel, parking, bicycle_rental, library, museum, post_office, police. Naming a category is how you search it - there is no way to search all of them at once. Omit this and the answer describes mrt_station, park, school, supermarket, listing plus the points of interest fetched earlier in this session, and lists what it did not describe under unsearched_categories with how many exist city-wide; district is never described, because the district you are standing in is its own field.
Raw JSON schema
{
  "type": "object",
  "properties": {
    "from": {
      "description": "Where to look from: a coordinate, a feature id from an earlier call, or a place name. Omit to describe the surroundings of the centre of the current view.",
      "anyOf": [
        {
          "type": "string",
          "description": "A feature id, or the name of a station, park or district. A name needs the base data the page loads on open; before that it answers \"map data not ready\" rather than guessing, and asking again works."
        },
        {
          "type": "object",
          "properties": {
            "lng": {
              "type": "number",
              "minimum": -180,
              "maximum": 180,
              "description": "Longitude in degrees."
            },
            "lat": {
              "type": "number",
              "minimum": -90,
              "maximum": 90,
              "description": "Latitude in degrees."
            }
          },
          "required": [
            "lng",
            "lat"
          ],
          "additionalProperties": false,
          "description": "Explicit coordinate."
        }
      ]
    },
    "radius_m": {
      "type": "number",
      "exclusiveMinimum": 0,
      "maximum": 10000,
      "description": "How far to look, in metres (default 500, roughly a five-minute walk; at most 10000)."
    },
    "categories": {
      "type": "array",
      "minItems": 1,
      "items": {
        "type": "string",
        "enum": [
          "mrt_station",
          "park",
          "school",
          "supermarket",
          "listing",
          "district",
          "restaurant",
          "cafe",
          "fast_food",
          "bakery",
          "bar",
          "convenience",
          "pharmacy",
          "clinic",
          "hospital",
          "place_of_worship",
          "bank",
          "hotel",
          "parking",
          "bicycle_rental",
          "library",
          "museum",
          "post_office",
          "police"
        ]
      },
      "description": "Which categories to describe. Always in memory: mrt_station, park, school, supermarket, listing, district. Points of interest, fetched for the whole city the first time you name one and kept for the rest of the session: restaurant, cafe, fast_food, bakery, bar, convenience, pharmacy, clinic, hospital, place_of_worship, bank, hotel, parking, bicycle_rental, library, museum, post_office, police. Naming a category is how you search it - there is no way to search all of them at once. Omit this and the answer describes mrt_station, park, school, supermarket, listing plus the points of interest fetched earlier in this session, and lists what it did not describe under unsearched_categories with how many exist city-wide; district is never described, because the district you are standing in is its own field."
    }
  },
  "additionalProperties": false
}

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