The server has only one tool, 'list_indian_stores', which is READ_ONLY and stateless. While the tool is explicitly registered in main.go with a name and description, critical quality dimensions are missing. The description is minimal (49 chars, below the 194-char production baseline). The input schema is completely empty (no properties, no required array, no parameter descriptions). No output schema is documented, callers must infer the response format from the raw text returned. There is minimal error handling guidance. The tool performs a simple lookup with no state management, which is appropriate, but the definition lacks the structure expected of production-grade MCP tools.

• Document the output schema as a typed array of store objects. Example: { "type": "array", "items": { "type": "object", "properties": { "name": { "type": "string", "description": "Store name (e.g. Flipkart, Amazon India)" }, "category": { "type": "string", "enum": ["electronics", "fashion", "groceries", "general"] }, "description": { "type": "string" } } } }. This lets LLMs understand the response structure and extract individual stores.
• Expand the tool description to 100 - 200 characters. Example: 'Returns a list of popular Indian online stores with their categories and services. Use this to discover available shopping platforms before asking about specific stores, product categories, or delivery options.'
• If this tool is a discovery/bootstrap tool, say so explicitly: 'Discovery tool: returns available stores. Call this first if you don't know which store to query.'
• Return structured JSON instead of free-text strings. Parse the current hardcoded response into array of objects: [{ "name": "Flipkart", "category": "e-commerce", "services": ["electronics", "fashion", "home"] }, ...]. This enables LLM extraction and chaining.
• Add a 'timestamp' field to the response to indicate freshness. E.g. 'last_updated': '2025-01-15T00:00:00Z'. Helps LLMs understand data staleness.
• Consider adding a parallel tool 'search_stores_by_category' that takes a category parameter (enum: electronics, fashion, groceries, general) and filters the list. This makes the tool suite more composable.

Inferred effective spec: <=2025-11-25.

• Relies on Dynamic Client Registration (deprecated) - use Client ID Metadata Documents (CIMD)