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jimmcq

Lemonade Stand MCP Server

by jimmcq

start_game

Launch a new lemonade stand business simulation to manage pricing, inventory, and weather conditions in a classic economic game.

Instructions

Start a new lemonade stand game

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • Handler for the 'start_game' tool: generates a unique game ID, creates initial game state using createNewGame(), stores it in the games Map, and returns the gameId and state as JSON.
    case 'start_game': {
      const gameId = uuidv4();
      const initialGameState = createNewGame();
      games.set(gameId, initialGameState);
      return {
        content: [{
          type: "text",
          text: JSON.stringify({ gameId, gameState: initialGameState })
        }]
      };
    }
  • server.js:237-244 (registration)
    Registration of the 'start_game' tool in the ListTools response, including its name, description, and empty input schema.
    {
      name: "start_game",
      description: "Start a new lemonade stand game",
      inputSchema: {
        type: "object",
        properties: {}
      }
    },
  • Helper function createNewGame() that initializes the game state with starting money, empty inventory, initial price, weather, and status.
    const createNewGame = () => ({
      day: 1,
      money: 20.00,
      inventory: {
        cups: 0,
        lemons: 0,
        sugar: 0,
        ice: 0
      },
      purchaseHistory: [],  // Keep track of purchases for proper cost calculation
      pricePerCup: 0.25,
      weather: generateWeather(),
      status: 'buying'
    });
  • Helper function generateWeather() used by createNewGame to set initial weather conditions.
    const generateWeather = () => {
      const temp = Math.floor(Math.random() * 40) + 50; // 50-90°F
      const conditions = ['Sunny', 'Partly Cloudy', 'Cloudy', 'Rainy'];
      const condition = conditions[Math.floor(Math.random() * conditions.length)];
      return { temp, condition };
    };
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Start') but doesn't reveal whether this initializes a new game state, resets existing progress, requires any preconditions, or what happens upon invocation (e.g., default settings, initial resources). For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose with zero wasted words. It's appropriately sized for a zero-parameter tool and front-loads the essential information without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (zero parameters, no output schema), the description is minimally complete but lacks context about what 'starting' entails behaviorally. Without annotations or output schema, the description should ideally clarify the result (e.g., initial game state) or preconditions, but it only states the action, leaving gaps for a mutation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and schema description coverage is 100% (though trivial since there are no parameters). The description doesn't need to compensate for any parameter documentation gaps. It appropriately doesn't mention parameters, earning a high baseline score for parameter semantics in this context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Start') and resource ('a new lemonade stand game'), making the purpose immediately understandable. It distinguishes this from siblings like 'buy_supplies' or 'sell_lemonade' by focusing on game initialization rather than gameplay actions. However, it doesn't specify what 'starting' entails (e.g., initializing state, resetting progress), keeping it from a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't indicate whether this should be called once at the beginning of a session, whether it can be called multiple times to restart, or how it relates to sibling tools like 'next_day' for progression. Without any usage context, the agent must infer appropriate timing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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