assetcore_get_container_continuous_placements_2d

Details

AssetCore is a deterministic structured memory substrate. It stores all world state explicitly in containers and modifies that state through atomic, replayable transactions. List placements in a continuous 2D container with fixed-point coordinates and rotation.
nCalls /v1/read/namespaces/{namespace_id}/containers/:id/continuous_2d/placements with optional region filters (min_x,min_y,max_x,max_y). Response includes placements[] {inst_id, coord {x,y}, rect {width,height}, rotation_millideg}, continuous metadata {min_x,min_y,max_x,max_y,quantization_inv,bucket_cell_size?,placement_count}, optional region echo, freshness, and correlation identifiers.

Protocols

MCP
OpenAI
Gemini

Input Schema

{
  "properties": {
    "container_id": {
      "description": "Container identifier.",
      "maxLength": 128,
      "minLength": 1,
      "pattern": "^[A-Za-z0-9._~\\-]+$",
      "type": "string"
    },
    "max_x": {
      "description": "Optional inclusive maximum X bound (fixed-point).",
      "type": "integer"
    },
    "max_y": {
      "description": "Optional inclusive maximum Y bound (fixed-point).",
      "type": "integer"
    },
    "min_x": {
      "description": "Optional inclusive minimum X bound (fixed-point).",
      "type": "integer"
    },
    "min_y": {
      "description": "Optional inclusive minimum Y bound (fixed-point).",
      "type": "integer"
    },
    "namespace_id": {
      "description": "Required namespace identifier for all namespaced operations.",
      "minimum": 1,
      "type": "integer"
    }
  },
  "required": [
    "container_id",
    "namespace_id"
  ],
  "type": "object"
}

Examples

No examples are currently available for this tool.