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mansournorouzi

Amazon SP-API MCP Server

get_orders

Retrieve Amazon orders filtered by date, status, and fulfillment channel. Get order summaries including ID, status, total, and buyer information.

Instructions

Retrieve a list of orders from Amazon Seller Central. You can filter by date range, status, and fulfillment channel. Returns order summaries including order ID, status, total, and buyer info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
createdAfterNoISO 8601 date. Orders created after this date (e.g., 2025-01-01T00:00:00Z)
createdBeforeNoISO 8601 date. Orders created before this date
lastUpdatedAfterNoISO 8601 date. Orders updated after this date
lastUpdatedBeforeNoISO 8601 date. Orders updated before this date
orderStatusesNoFilter by order status: Pending, Unshipped, PartiallyShipped, Shipped, Canceled
fulfillmentChannelsNoAFN (Fulfilled by Amazon) or MFN (Merchant Fulfilled)
maxResultsNoMaximum number of orders to return (max 100)
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It only describes the basic retrieval function without disclosing behavioral traits like authorization requirements, rate limits, or any side effects. The description is minimal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with no wasted words. The verb and resource are front-loaded, and the structure is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 parameters, no output schema, and no annotations, the description provides high-level purpose but lacks details on required parameters, pagination, ordering, or complete return value structure. It is adequate but has gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description does not add meaning beyond what the schema already provides; it merely restates the filtering capability.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves a list of orders from Amazon Seller Central with filtering options and lists returned fields. It does not explicitly differentiate from sibling tools like get_order_details, but the scope (list vs details) is implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, such as when needing individual order details or events. It only states what the tool does without context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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