discoveredlabs.com

{
  "name": "calculate_eval_sample_size",
  "kind": "act",
  "impl": "imperative",
  "description": "Calculate the statistically valid number of prompts and API calls for an LLM brand-mention evaluation. Call when planning an eval; pass confidence (default 95), margin_of_error_pct (default 2), resamples_per_prompt (default 3), var_between and var_within. Returns unique_prompts and total_api_calls.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "confidence": {
        "type": "number",
        "description": "Statistical confidence level as a percentage (default 95)",
        "minimum": 80,
        "maximum": 99,
        "default": 95
      },
      "margin_of_error_pct": {
        "type": "number",
        "description": "Acceptable margin of error as a percentage (default 2)",
        "minimum": 0.5,
        "maximum": 5,
        "default": 2
      },
      "resamples_per_prompt": {
        "type": "number",
        "description": "Number of times to resample each prompt to reduce within-question noise (default 3)",
        "minimum": 1,
        "maximum": 20,
        "default": 3
      },
      "var_between": {
        "type": "number",
        "description": "Between-question variance — how much brand mention rates differ across different questions (default 0.02)",
        "minimum": 0,
        "maximum": 0.1,
        "default": 0.02
      },
      "var_within": {
        "type": "number",
        "description": "Within-question variance — how much the model wobbles when answering the same question (default 0.05)",
        "minimum": 0,
        "maximum": 0.2,
        "default": 0.05
      }
    },
    "required": []
  }
}

{
  "name": "book_intro_call",
  "kind": "transact",
  "impl": "imperative",
  "description": "Get the Discovered Labs intro call booking details. Returns the live Calendly scheduling URL, event name, duration, and instructions for booking a free strategy call with the team.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "required": []
  }
}