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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

find_features

answer imperative

Search every loaded feature, not only the visible ones. Filter by text (name, brand, cuisine or address), category, distance from a place, a feature or a coordinate (up to 10000 m), and by whether a feature is inside a shape on the map - including one the human drew by hand. Results come back nearest first, each with its distance in metres and an 8-point compass direction from that origin, which is echoed as origin - together with radius_m when near or radius_m limited the search. Naming a point-of-interest category (restaurant, cafe, pharmacy and so on) fetches it for the whole city on first use and then searches all of it, wherever the map happens to be pointing; searching without categories answers from what is already loaded and lists the rest under unsearched_categories. With query, the answer also carries unloaded_matches when the same text matches in point-of-interest categories this session has not fetched: {category, count} for each, biggest first, at most 6 of them (unloaded_matches_omitted counts any further ones). This is how a search that returned nothing can still tell you where the matches are - the count is city-wide, matched on the same name, brand, cuisine and address fields this tool matches once a category is loaded, so call find_features again with that category in categories to load it and get the features. Nothing is fetched on your behalf: naming the category is still your call.

Input schema

PropertyTypeRequiredDescription
query string no Case-insensitive substring of the local or English name, brand, cuisine, or address. A result may have matched on a field the list does not echo; get_place_details shows all of a feature's tags. Omit to match every name.
categories array no Which categories to search. 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 search covers the always-in-memory categories plus the points of interest fetched earlier in this session; the answer then lists what it did not search under unsearched_categories, with how many exist city-wide.
near — no Origin for distances and for the radius filter: a feature id returned by an earlier call (e.g. "osm:node:123"), a place name to look up in the loaded data (e.g. "Daan Station"), or an explicit coordinate. Omit to measure from the centre of the current view.
radius_m number no Keep only features within this many metres of "near" (default 800 when "near" is given, no radius filter otherwise, at most 10000). A larger radius is refused rather than quietly narrowed. Measured to a feature point, or to the centroid of an area.
within string no "drawing:<n>" - restrict results to features inside that drawing, as returned by draw_shape or listed in map state under drawings (the ten most recent; drawings.count is the true total). A circle or polygon works; a line has no inside. Combines with the other filters instead of replacing them.
limit integer no Maximum number of features to return (default 20, max 100). The "total" field reports how many matched in all.
Raw JSON schema
{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Case-insensitive substring of the local or English name, brand, cuisine, or address. A result may have matched on a field the list does not echo; get_place_details shows all of a feature's tags. Omit to match every name."
    },
    "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 search. 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 search covers the always-in-memory categories plus the points of interest fetched earlier in this session; the answer then lists what it did not search under unsearched_categories, with how many exist city-wide."
    },
    "near": {
      "description": "Origin for distances and for the radius filter: a feature id returned by an earlier call (e.g. \"osm:node:123\"), a place name to look up in the loaded data (e.g. \"Daan Station\"), or an explicit coordinate. Omit to measure from 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": "Keep only features within this many metres of \"near\" (default 800 when \"near\" is given, no radius filter otherwise, at most 10000). A larger radius is refused rather than quietly narrowed. Measured to a feature point, or to the centroid of an area."
    },
    "within": {
      "type": "string",
      "description": "\"drawing:<n>\" - restrict results to features inside that drawing, as returned by draw_shape or listed in map state under drawings (the ten most recent; drawings.count is the true total). A circle or polygon works; a line has no inside. Combines with the other filters instead of replacing them."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "Maximum number of features to return (default 20, max 100). The \"total\" field reports how many matched in all."
    }
  },
  "additionalProperties": false
}

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