Loading ToolBench
Local MCP server for Flame game engine documentation with search and tutorial capabilities
Two tools with basic definitions and input schemas, but significant gaps in descriptions, parameter documentation, and error handling. Tool names follow verb-noun convention, but descriptions lack the specificity required for reliable LLM selection. No output schemas are documented. No error guidance is provided. Parameters are minimally described. This server demonstrates foundational structure but falls short of production quality.
Search through Flame documentation
Get complete Flame tutorials with step-by-step instructions for building games (space shooter, platformer, klondike). Use this for learning how to build specific games.
Tool descriptions below LLM-optimization range (34 - 137 chars vs. baseline 50 - 200). Lack WHEN/WHY selection guidance and output structure details.
No output schemas documented for either tool. LLMs cannot plan downstream calls or extract specific fields without knowing return structure.
Parameter constraints embedded in descriptions instead of formalized as JSON Schema enums. tutorial topic parameter lists valid values as inline text.
No error recovery guidance. No documentation of failure modes, invalid inputs, or what to do if a search returns no results.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 49 | 2026-07-28+ | v2 |
Minimal parameter descriptions do not explain format, constraints, or examples.
No pagination or result-limiting declarations. If search_documentation returns many results, LLM may be overwhelmed or response may exceed token budget.
No tool annotations (readOnlyHint, destructiveHint, idempotentHint). Both tools are read-only and safe to retry, but this is not formally declared.