{
  "context": "This criteria evaluates how effectively the engineer uses json-schema-traverse's rich contextual parameters to build a schema analyzer. The focus is on proper utilization of the seven callback parameters (schema, jsonPtr, rootSchema, parentJsonPtr, parentKeyword, parentSchema, keyIndex) to extract and organize structural information.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Uses traverse function",
      "description": "Code imports and invokes the traverse function from json-schema-traverse package with correct parameters (schema and callback or options object)",
      "max_score": 15
    },
    {
      "name": "Captures jsonPtr parameter",
      "description": "Implementation accesses and uses the jsonPtr parameter from the callback to track schema paths",
      "max_score": 20
    },
    {
      "name": "Captures parentJsonPtr parameter",
      "description": "Implementation accesses and uses the parentJsonPtr parameter to track parent-child relationships",
      "max_score": 15
    },
    {
      "name": "Captures parentKeyword parameter",
      "description": "Implementation accesses and uses the parentKeyword parameter to identify which JSON Schema keyword contains each schema",
      "max_score": 15
    },
    {
      "name": "Uses schema parameter",
      "description": "Implementation accesses the schema parameter to extract schema properties like type",
      "max_score": 10
    },
    {
      "name": "Calculates depth correctly",
      "description": "Implementation correctly calculates nesting depth using the contextual parameters (e.g., by counting slashes in jsonPtr or tracking depth during traversal)",
      "max_score": 15
    },
    {
      "name": "Returns required structure",
      "description": "Function returns an object with the required properties: paths array (containing objects with path, type, parent, parentKeyword, depth), maxDepth, and totalSchemas",
      "max_score": 10
    }
  ]
}