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{
  "name": "list_scenarios",
  "kind": "answer",
  "impl": "imperative",
  "description": "List the creative collaboration challenges available in Assembly Lab, including their IDs, constraints, difficulty, and intended outcome.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/sandbox"
}

{
  "name": "list_agent_presets",
  "kind": "answer",
  "impl": "imperative",
  "description": "List the specialist agent presets that can form a collaboration crew, including personality scores, strategy, and specialization.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/sandbox"
}

{
  "name": "configure_mission",
  "kind": "act",
  "impl": "imperative",
  "description": "Configure the visible Assembly Lab mission. Call list_scenarios and list_agent_presets first, then choose one scenario and two to four complementary agent IDs.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "scenario_id": {
        "type": "string",
        "description": "Exact scenario ID returned by list_scenarios."
      },
      "agent_ids": {
        "type": "array",
        "minItems": 2,
        "maxItems": 4,
        "uniqueItems": true,
        "items": {
          "type": "string"
        },
        "description": "Two to four IDs returned by list_agent_presets."
      },
      "total_turns": {
        "type": "integer",
        "minimum": 4,
        "maximum": 12,
        "description": "Bounded mission length; use 4 for a fast demo."
      },
      "mode": {
        "type": "string",
        "enum": [
          "step_by_step",
          "full_run"
        ],
        "description": "Step-by-step keeps the human in the loop."
      }
    },
    "required": [
      "scenario_id",
      "agent_ids",
      "total_turns"
    ],
    "additionalProperties": false
  },
  "page": "/sandbox"
}

{
  "name": "preview_mission",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return the current scenario, crew, mode, turn budget, and execution state without changing the mission.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/sandbox"
}

{
  "name": "run_next_turn",
  "kind": "act",
  "impl": "imperative",
  "description": "Advance exactly one turn in the configured mission and update the visible timeline and 3D assembly. Use this for observable human-in-the-loop collaboration.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/sandbox"
}

{
  "name": "run_simulation",
  "kind": "act",
  "impl": "imperative",
  "description": "Run the configured mission to completion with a bounded turn count, then show the 3D result and collaboration metrics in the visible interface.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "total_turns": {
        "type": "integer",
        "minimum": 4,
        "maximum": 12,
        "description": "Optional override for the configured turn budget."
      }
    },
    "additionalProperties": false
  },
  "page": "/sandbox"
}

{
  "name": "inspect_collaboration",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return concise progress, latest action, brick count, conflicts, resolutions, and average collaboration metrics for the current mission.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/sandbox"
}

{
  "name": "analyze_collaboration",
  "kind": "act",
  "impl": "imperative",
  "description": "Analyze the current completed or step-by-step mission and return a grade, collaboration pattern, key observations, and actionable crew recommendations.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/sandbox"
}

{
  "name": "reset_mission",
  "kind": "act",
  "impl": "imperative",
  "description": "Clear the current local mission, crew selection, timeline, and analysis so the human and agent can configure a fresh experiment.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/sandbox"
}