Single tool with minimal definition quality. Tool name 'getDataProductInfo' uses camelCase instead of snake_case verb_noun convention, making it harder for LLMs to parse intent. Description is present (60 chars) but generic and lacks context on when/why to use it. Input schema exists with basic type info but lacks constraints, enums, or format guidance. No output schema documented. No error handling guidance. No pagination support despite potential for large datasets. Tool appears to be a simple wrapper around a service call with no agent-specific optimizations.

• Rename tool to 'get_data_product_info' (snake_case verb_noun) to match LLM parsing conventions and align with baseline naming patterns.
• Expand description to 100-150 chars: 'Retrieve detailed information about a data product by its ID. Returns product name, description, owner, and status. Use this to fetch metadata before creating reports or accessing product data.'
• Add input schema constraints: dataProductId should specify format (e.g., pattern: '^[A-Z0-9]{3,20}$') and include a description like 'The unique product identifier (e.g., PROD-12345). Use search_data_products() to find IDs if unknown.'
• Document output schema with typed fields: {product_id: string, name: string, description: string, owner: string, status: enum[active|archived|draft], created_at: ISO8601}.
• Add error handling guidance: 'If product not found, returns error with available product IDs. If service unavailable, retry after 30 seconds.'