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get_inbound_shipments

Retrieve FBA inbound shipment records with optional filters by date, ASIN, SKU, or marketplace. Access pre-materialized shipment data for inventory tracking.

Instructions

[Inventory / read] FBA inbound shipment tracking. Hosted endpoint only; this local stdio server is an introspection stub.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateNoOptional start date for time-range reads, YYYY-MM-DD.
end_dateNoOptional end date for time-range reads, YYYY-MM-DD.
asinNoOptional Amazon ASIN filter when relevant.
skuNoOptional merchant SKU filter when relevant.
marketplace_idNoOptional Amazon marketplace identifier.
filtersNoOptional lightweight filters supported by the hosted tool.
limitNoOptional row limit for hosted reads.
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It states the tool is read-only and is a stub, but fails to describe what 'tracking' entails (e.g., fields returned, pagination, side effects). Critical behavioral details are omitted.

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

Conciseness4/5

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

The description is concise at two sentences, avoiding unnecessary detail. The purpose and stub nature are front-loaded, though the brevity slightly sacrifices completeness for efficiency.

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 the rich schema and absence of an output schema, the description should clarify return values and integration with other tools. It provides minimal context about how this tool fits into inbound shipment workflows, leaving gaps in completeness.

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?

The input schema has 100% coverage with clear descriptions for all 7 parameters, so the description does not need to add parameter details. The baseline is 3; no extra meaning is added beyond the schema.

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 identifies the tool as handling FBA inbound shipment tracking under the Inventory/read category. It specifies the resource ('FBA inbound shipments') and the operation type. However, it does not differentiate from sibling tools like get_awd_shipments or get_shipment_receiving_status, which reduces clarity for an AI agent.

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?

No explicit guidance is provided on when to use this tool versus alternatives. The note about being an introspection stub hints at technical limitations but does not offer practical usage context, leaving the agent to infer appropriate use cases.

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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