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fritzprix

Rubik's Cube MCP Server

by fritzprix

joinGame

Connect to an existing Rubik's Cube game session using a session ID to participate in collaborative puzzle solving with real-time 3D visualization.

Instructions

Join an existing Rubik's Cube game session

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gameIdYesThe game session ID to join

Implementation Reference

  • Executes the joinGame tool logic: retrieves the game session by ID, fetches current cube state, constructs response, and returns formatted content.
    async ({ gameId }: { gameId: string }) => {
      const game = this.games.get(gameId);
      if (!game) {
        throw new Error(`Game session ${gameId} not found`);
      }
    
      const { cube, session } = game;
      const currentState = cube.getState();
    
      const response: CubeResponse = {
        gameId,
        cube: currentState,
        scrambleMoves: session.scrambleMoves,
        nextAction: currentState.solved ? "finish" : "manipulateCube",
      };
    
      return {
        content: [
          { type: "text", text: "Joined game successfully." },
          { type: "text", text: JSON.stringify(response, null, 2) },
        ],
      };
    }
  • Input schema definition using Zod for the joinGame tool, requiring a gameId string parameter.
    {
      gameId: z.string().describe("The game session ID to join"),
    },
  • src/app.ts:83-112 (registration)
    Registers the joinGame MCP tool with name, description, input schema, and handler function on the MCP server.
    this.mcpServer.tool(
      "joinGame",
      "Join an existing Rubik's Cube game session",
      {
        gameId: z.string().describe("The game session ID to join"),
      },
      async ({ gameId }: { gameId: string }) => {
        const game = this.games.get(gameId);
        if (!game) {
          throw new Error(`Game session ${gameId} not found`);
        }
    
        const { cube, session } = game;
        const currentState = cube.getState();
    
        const response: CubeResponse = {
          gameId,
          cube: currentState,
          scrambleMoves: session.scrambleMoves,
          nextAction: currentState.solved ? "finish" : "manipulateCube",
        };
    
        return {
          content: [
            { type: "text", text: "Joined game successfully." },
            { type: "text", text: JSON.stringify(response, null, 2) },
          ],
        };
      }
    );
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('join') but doesn't explain what happens upon joining (e.g., does it return game state, require authentication, have rate limits, or affect other players?). For a tool that likely involves multi-user interaction with no annotation coverage, this lack of behavioral context is inadequate, though not contradictory.

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 without unnecessary words. It's front-loaded with the core action and resource, making it easy to parse. There's zero waste, and every part of the sentence earns its place by clearly conveying the essential function.

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

Completeness2/5

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

Given the complexity of joining a game session (likely involving multi-user state changes), the description is incomplete. No annotations exist to cover behavioral aspects like safety or side effects, and there's no output schema to explain return values (e.g., success confirmation or game details). The description alone doesn't provide enough context for an agent to understand the full implications of using this tool, especially compared to siblings like 'manipulateCube' or 'finish'.

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

Parameters3/5

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

The schema description coverage is 100%, with the single parameter 'gameId' fully documented in the schema as 'The game session ID to join'. The description doesn't add any meaning beyond this (e.g., format examples, source of the ID, or validation rules). With high schema coverage and only one parameter, the baseline score of 3 is appropriate, as the schema handles the heavy lifting without extra value from the description.

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 ('join') and resource ('an existing Rubik's Cube game session'), making the purpose immediately understandable. It distinguishes from sibling tools like 'startCube' (which creates a new game) and 'manipulateCube' (which interacts with an ongoing game), though it doesn't explicitly mention these alternatives. The description is specific but lacks explicit sibling differentiation, which keeps 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 mention prerequisites (e.g., needing a valid game ID from 'startCube'), exclusions (e.g., cannot join a finished game), or contextual cues (e.g., use after starting a game). With sibling tools like 'finish' and 'manipulateCube' available, the absence of usage guidelines is a significant gap, leaving the agent to infer appropriate contexts.

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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