This server has significant gaps in definition quality. While tool naming follows verb_noun conventions (amazon_authenticate, amazon_get_orders), descriptions are minimal and often lack critical context. Input schemas are present but sparse, many lack type constraints, enums for constrained values, and proper parameter descriptions. Most critically, output schemas are entirely undocumented, making it impossible for LLMs to understand what these tools return or chain results to downstream calls. Error handling is generic with no recovery guidance. Security concerns around token/credential handling are not visibly addressed in the schemas. The average per-tool score is 42, reflecting widespread gaps across naming clarity, description depth, parameter constraints, and output documentation.
No output schemas documented for any tool. LLMs cannot plan downstream calls or extract required fields (e.g., order_id from get_orders to pass to get_order_details). Broken tool chains.
marketplace_id and date_range parameters lack enums or format constraints. LLMs will hallucinate invalid values. date_range is described as 'ISO format' but no regex or pattern is declared. marketplace_id should enumerate valid marketplace IDs (e.g., ATVPDKIKX0DER for US).
Document output schema for every tool. Example for amazon_get_orders: returns {orders: [{order_id: string, creation_date: string, order_status: enum, total_amount: number, items: [{sku: string, quantity: int, price: number}]}, next_token?: string, total_count: int}
Replace free-form date_range parameter with explicit posted_after and posted_before (ISO 8601 strings) like amazon_get_financial_events already has. Add format validation.
Add enum constraints: marketplace_id should list valid values (ATVPDKIKX0DER, A1F83G35XFOWIE, A1VC38DY5GZFRQ, etc.). order_statuses array items should enumerate valid statuses (Pending, Unshipped, PartiallyShipped, Shipped, Cancelled, Unfulfillable).
Expand amazon_authenticate description: 'Initiates OAuth flow to authenticate seller. Call this FIRST before any other tool. Returns auth URL to redirect user. Handle callback with amazon_handle_callback.' Add dependency hint.
Expand amazon_update_listing description: 'Updates a product listing (price, quantity, description, title, etc). This is idempotent, calling twice with the same data is safe. WARNING: changes are live immediately; use carefully. Requires seller token.' Add idempotent hint.
Define product_data schema explicitly: {price?: number, quantity?: integer, description?: string, title?: string, bullet_points?: string[], images?: string[], product_category?: string, brand?: string, features?: object}. Mark which are mutable.
Token/credential handling exposed in request flow but no indication of server-side secret injection. amazon_handle_callback accepts 'code' and 'state' but the source shows exchangeCodeForTokens accesses env vars, unclear if credentials are properly gated from tool parameters. Need explicit security assurance.
Descriptions are generic and lack recovery guidance. Example: 'Get orders for the seller account' (40 chars). Does not explain WHEN to call vs get_order_details, what statuses are available, or why date_range matters. No dependency hints.
product_data in amazon_update_listing is an untyped 'object' with no documentation of allowed fields. LLMs cannot know whether to pass 'price' vs 'selling_price', 'description' vs 'product_description', or which fields are required vs optional.
inventory_updates in amazon_update_inventory is an untyped array of objects with no schema. LLMs cannot structure valid updates. Should specify: 'Array of objects, each with {sku: string, quantity: integer, fulfillment_channel?: enum}' etc.
No error handling documentation. If amazon_get_orders fails because the date_range is malformed, what does the LLM see? Is it retryable? Should it ask the user? No recovery guidance in tool definitions.
No pagination declared. amazon_get_orders, amazon_get_products, amazon_get_listings accept page_size but no limit, offset, or cursor handling documented. Large result sets will blow context windows. Pattern requires page/offset + total_count or next_cursor.
Destructive/write operations (amazon_update_listing, amazon_update_inventory, amazon_logout) have no confirmation or dry-run capability. Agents can inadvertently zero out inventory or revoke sessions. No idempotency hints either.
Tool descriptions do not state whether operations are idempotent. Can amazon_update_listing be called twice with the same SKU and price without side effects? This is critical for agent retry logic.
amazon_update_listingamazon_update_inventory
Add error recovery guidance to all tools. Example: 'If authentication fails, verify AMAZON_CLIENT_ID and AMAZON_CLIENT_SECRET are set. If marketplace_id is invalid, call amazon_list_marketplaces first.'
Add pagination to list/search tools: page_size (default 10, max 100), next_token (opaque cursor for next page), total_count (total results available). Return these in output schema.
Add dry-run parameter to destructive tools: amazon_update_inventory(dry_run: boolean, default false). When true, return what WOULD change but don't execute.
Add toolAnnotations via MCP SDK: mark amazon_logout as {readOnlyHint: false, destructiveHint: true, idempotentHint: false} so clients can flag it to the LLM.
Document permission requirements. E.g., 'Requires AmazonSPAPI token with scope SellingPartnerAPI::Orders (read)'. Add to descriptions.
Validate inputs early and return structured errors: {error: 'invalid_marketplace_id', message: 'Marketplace ID must be one of: ATVPDKIKX0DER, A1F83G35XFOWIE...', field: 'marketplace_id', suggestion: 'Did you mean ATVPDKIKX0DER?'}