Capabilities Hub exposes 16 tools with inconsistent quality. Most tools have descriptions (good), but parameter schemas are incomplete or missing type information. Tool names lack clear verb-noun structure (e.g., 'organizeCatalog' vs 'organize_catalog'). Many parameters lack descriptions or type constraints. Output schemas are not documented. Error handling is absent from tool definitions. The server appears to be a CLI/HTTP wrapper around a catalog system, but tool definitions do not follow production-grade patterns for LLM consumption.

• Rename all tools to snake_case verb_noun format: 'batchTranslate' → 'batch_translate', 'organizeCatalog' → 'organize_catalog', etc. This enables LLMs to parse intent from names alone.
• Add explicit JSON Schema definitions for all nested object parameters. Replace 'config: {type: "object"}' with full schema including required fields, property types, and descriptions.
• Document output schemas for every tool. Specify return type (object/array), field names, types, and which fields are required for downstream tool chaining.
• Add error handling guidance to tools calling external services. E.g., 'If AI translation fails, returns {error: "rate_limit", retry_after_seconds: 60}. Retry after delay or ask user to try again later.'
• Complete parameter descriptions for all 'object' and 'array' parameters. Describe structure, required fields, and valid values. E.g., 'items: Array of {id: string, tags: string[]} objects to apply.'