startup-sim-3000/tools.json at main · erinmikailstaples/startup-sim-3000 · GitHub

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[
  {
    "type": "function",
    "function": {
      "name": "startup_simulator",
      "description": "Generates a creative and silly startup pitch based on industry, audience, and a random word. Uses HackerNews context for inspiration.",
      "parameters": {
        "type": "object",
        "properties": {
          "industry": {
            "type": "string",
            "description": "The industry for the startup (e.g., 'tech', 'healthcare', 'food')"
          },
          "audience": {
            "type": "string",
            "description": "The target audience for the startup (e.g., 'millennials', 'small businesses', 'parents')"
          },
          "random_word": {
            "type": "string",
            "description": "A random word that must be included naturally in the pitch"
          },
          "hn_context": {
            "type": "string",
            "description": "Recent HackerNews stories for creative inspiration (optional)"
          }
        },
        "required": ["industry", "audience", "random_word"]
      }
    }
  },
  {
    "type": "function",
    "function": {
      "name": "serious_startup_simulator",
      "description": "Generates a professional, business-focused startup plan based on industry, audience, and market trends. Uses business news for market analysis.",
      "parameters": {
        "type": "object",
        "properties": {
          "industry": {
            "type": "string",
            "description": "The industry for the startup (e.g., 'fintech', 'healthcare', 'e-commerce')"
          },
          "audience": {
            "type": "string",
            "description": "The target audience for the startup (e.g., 'enterprise', 'SMBs', 'consumers')"
          },
          "random_word": {
            "type": "string",
            "description": "A concept or word to incorporate naturally into the business plan"
          },
          "news_context": {
            "type": "string",
            "description": "Recent business news for market analysis and trends (optional)"
          }
        },
        "required": ["industry", "audience", "random_word"]
      }
    }
  },
  {
    "type": "function",
    "function": {
      "name": "hackernews_tool",
      "description": "Fetches trending stories from HackerNews for creative inspiration and context.",
      "parameters": {
        "type": "object",
        "properties": {
          "limit": {
            "type": "integer",
            "description": "Number of stories to fetch (default: 3)",
            "default": 3
          }
        },
        "required": []
      }
    }
  },
  {
    "type": "function",
    "function": {
      "name": "news_api_tool",
      "description": "Fetches business news articles for market analysis and professional context.",
      "parameters": {
        "type": "object",
        "properties": {
          "category": {
            "type": "string",
            "description": "News category to fetch (e.g., 'business', 'technology')",
            "default": "business"
          },
          "limit": {
            "type": "integer",
            "description": "Number of articles to fetch (default: 5)",
            "default": 5
          }
        },
        "required": []
      }
    }
  },
  {
    "type": "function",
    "function": {
      "name": "text_analyzer",
      "description": "Analyzes text content for sentiment, key themes, and insights.",
      "parameters": {
        "type": "object",
        "properties": {
          "text": {
            "type": "string",
            "description": "The text content to analyze"
          },
          "analysis_type": {
            "type": "string",
            "description": "Type of analysis to perform (sentiment, themes, summary)",
            "default": "sentiment"
          }
        },
        "required": ["text"]
      }
    }
  },
  {
    "type": "function",
    "function": {
      "name": "keyword_extractor",
      "description": "Extracts key terms and phrases from text content.",
      "parameters": {
        "type": "object",
        "properties": {
          "text": {
            "type": "string",
            "description": "The text content to extract keywords from"
          },
          "max_keywords": {
            "type": "integer",
            "description": "Maximum number of keywords to extract",
            "default": 10
          }
        },
        "required": ["text"]
      }
    }
  }
]