behavioural-lab.netlify.app

{
  "name": "get_scenario",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the currently configured behavioral scenario, including the goal, target population, and baseline participation rate.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  }
}

{
  "name": "list_interventions",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the list of available behavioral interventions for the current recycling scenario, including each intervention's id, name, and effect in percentage points.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  }
}

{
  "name": "run_simulation",
  "kind": "act",
  "impl": "imperative",
  "description": "Runs a deterministic behavioral intervention simulation for the current recycling scenario. Accepts an intervention ID and returns the predicted recycling participation rate.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "interventionId": {
        "type": "string",
        "description": "The ID of the intervention to simulate. Must be one of: default, reminder, social-proof, financial-incentive, loss-framing."
      }
    },
    "required": [
      "interventionId"
    ]
  }
}

{
  "name": "compare_interventions",
  "kind": "act",
  "impl": "imperative",
  "description": "Compares multiple behavioral interventions for the current recycling scenario by simulating each one and returning their predicted outcomes side by side, including the best-performing intervention.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "interventionIds": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "An array of intervention IDs to compare. Must contain at least 2. Valid IDs: default, reminder, social-proof, financial-incentive, loss-framing."
      }
    },
    "required": [
      "interventionIds"
    ]
  }
}

{
  "name": "explain_result",
  "kind": "act",
  "impl": "imperative",
  "description": "Explains the behavioral principle behind a selected intervention and connects it to the simulated result, providing a concise human-readable behavioral-economics explanation.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "interventionId": {
        "type": "string",
        "description": "The ID of the intervention to explain. Must be one of: default, reminder, social-proof, financial-incentive, loss-framing."
      }
    },
    "required": [
      "interventionId"
    ]
  }
}