assetcore_list_classes

AssetCore is a deterministic structured memory substrate. It stores all world state explicitly in containers and modifies that state through atomic, replayable transactions. Enumerate registered classes for a namespace so transactions can reference stable class identifiers.

Details

Calls GET /v1/read/namespaces/{namespace_id}/classes on the read daemon with optional cursor (last seen class id) and limit (default 20, max 200). Values above max are clamped to the maximum. Returns limit/next_cursor/has_more plus classes[] {class_id, name, flags, shape_count, behavior?} alongside freshness and correlation identifiers. When adapters request shape detail, they may additionally call GET /v1/read/namespaces/{namespace_id}/classes/{id}/shapes for each class to return shapes[] {key?, shape {width,height}}.

Protocols

MCP
OpenAI
Gemini

Input Schema

{
  "properties": {
    "cursor": {
      "description": "Cursor anchored to the last seen class identifier.",
      "maxLength": 128,
      "minLength": 1,
      "pattern": "^[A-Za-z0-9._~\\-]+$",
      "type": "string"
    },
    "detail_level": {
      "default": "summary",
      "description": "Summary returns registry metadata only; with_shapes additionally fetches shapes for each class in the page.",
      "enum": [
        "summary",
        "with_shapes"
      ],
      "type": "string"
    },
    "limit": {
      "default": 20,
      "description": "Maximum number of classes to return (default: 20, max: 200)",
      "maximum": 200,
      "minimum": 1,
      "type": "integer"
    },
    "namespace_id": {
      "description": "Required namespace identifier for all namespaced operations.",
      "minimum": 1,
      "type": "integer"
    }
  },
  "required": [
    "namespace_id"
  ],
  "type": "object"
}

Examples

No examples are currently available for this tool.