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get_offer_listings

Retrieve live seller offers for an Amazon ASIN, with optional filters by date, SKU, or marketplace to monitor inventory and pricing.

Instructions

[Inventory / direct API read] Live seller offers for an ASIN. 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.
Behavior4/5

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

No annotations exist, but the description discloses the tool is a read operation and explicitly states it's an introspection stub not functional locally. This provides important behavioral context beyond basic purpose.

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?

Two sentences with no wasted words. First sentence covers purpose, second provides critical context about hosting. Highly concise.

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

Completeness2/5

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

With 7 parameters and no output schema, the description lacks information on output format, pagination, filter usage, or what data is returned. This leaves the agent with significant uncertainty.

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 description adds no additional meaning beyond what the schema provides. Baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly identifies the tool as reading live seller offers for an ASIN, specifying it's a read operation and a hosted endpoint stub. This distinguishes it from sibling mutating tools.

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

Usage Guidelines3/5

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

The description implies usage is only for hosted environment due to stub nature, but lacks explicit when-to-use or alternatives among siblings. No guidance on when to use this tool versus similar read tools.

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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