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MCP server for sequential thinking and problem solving with Three.js game engine
The server defines a single tool 'gamedesignthinking' with comprehensive parameter documentation and clear intent. The tool name is descriptive but uses a domain-specific verb ('gamedesignthinking') rather than a standard action verb. The description is extensive (1000+ chars) and covers when/how to use the tool, which is above-average quality. However, there are critical gaps: (1) the tool has no documented output schema, responses are JSON objects but their structure is not formally declared; (2) the input schema is present and well-typed with required/optional fields, but the schema lacks input validation beyond type checking (no enums, patterns, or range constraints where they would help); (3) no error handling patterns are visible, validation failures return generic error JSON without recovery guidance; (4) parameter descriptions could be more specific (e.g., 'thought' is documented as 'Current game design/implementation thought' but lacks guidance on length, format, or invalid values).
A tool for designing game mechanics and building games with Three.js and other open-source libraries. This tool guides the game development process through structured thinking about mechanics, systems, and implementation. When to use this tool: - Designing core game mechanics - Planning game systems architecture - Implementing features with Three.js, Cannon.js, Ammo.js, etc. - Creating game loops and state management - Developing rendering pipelines - Building physics systems - Creating player controls and interactions Key features: - Tracks game components (physics, rendering, controls, etc.) - Associates thoughts with specific libraries (Three.js, Cannon.js, etc.) - Supports branching for different game systems - Allows revision of game design decisions - Flexible thought counting for iterative design - Maintains context across game development steps Parameters explained: - thought: Current game design or implementation decision, e.g.: * "Implement basic character movement with WASD controls" * "Add physics using Cannon.js for object collisions" * "Create Three.js scene with basic lighting" - nextThoughtNeeded: True if more design steps are needed - thoughtNumber: Current step in the design process - totalThoughts: Estimated total design steps needed - isRevision: If revising a previous game design decision - revisesThought: Which previous thought is being revised - branchFromThought: Starting point for a new system branch - branchId: Identifier for system branch (e.g., "physics-system") - gameComponent: Game system being worked on (e.g., "physics", "rendering") - libraryUsed: Library being utilized (e.g., "threejs", "cannonjs") You should: 1. Start with core game mechanic ideas 2. Break down implementation into components 3. Specify libraries for each component 4. Revise mechanics based on playtesting 5. Branch for parallel system development 6. Adjust totalThoughts as scope changes 7. Document Three.js/Cannon.js implementation details 8. Iterate until game design is complete
No documented output schema, tool returns JSON but structure is not formally declared, making it impossible for LLMs to plan downstream operations or validate response structure.
Tool name 'gamedesignthinking' uses a domain-specific compound verb rather than standard action verbs (get, list, create, update, search). This reduces discoverability and makes the tool harder for LLMs to categorize.
Parameter 'thought' lacks format/length constraints. LLMs may submit extremely long or malformed thoughts with no guidance on what constitutes a valid thought.
Optional parameters (isRevision, revisesThought, branchFromThought, branchId, gameComponent, libraryUsed) lack documentation of dependencies. When isRevision=true, what if revisesThought is omitted? The tool should document these interdependencies.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | C | 62 | 2026-07-28+ | v2 |
| 2026-03-09 | F | 42 | - | v1 |
Error handling returns JSON with generic 'error' and 'status' fields but provides no recovery guidance. When validation fails, the LLM receives no hint on what to fix or what to try next.
Parameters 'totalThoughts' and 'thoughtNumber' have no upper bounds documented. An LLM could submit thoughtNumber=999999 with no warning of invalid scope.