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NeuralVerge Business Intelligence

Amazon product offers

run_amazon_product_offers

Get all marketplace offers for an Amazon product by ASIN: price, condition, seller, and delivery. Flat 5 points per successful run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinYesASIN. e.g. B0BSHF7WHW
domainNoDomain. Options: amazon.com = amazon.com, amazon.co.uk = amazon.co.uk, amazon.de = amazon.de, amazon.fr = amazon.fr, amazon.it = amazon.it, amazon.es = amazon.es, amazon.ca = amazon.ca, amazon.co.jp = amazon.co.jp, amazon.com.mx = amazon.com.mx, amazon.com.br = amazon.com.br, amazon.in = amazon.in, amazon.com.au = amazon.com.au, amazon.nl = amazon.nl, amazon.se = amazon.se, amazon.pl = amazon.pl, amazon.com.tr = amazon.com.tr, amazon.ae = amazon.ae, amazon.sa = amazon.sa, amazon.sg = amazon.sg Default: amazon.com.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / asin / description
      Previous value: -"Amazon ASIN, e.g. B0BSHF7WHW."New value: +"ASIN. e.g. B0BSHF7WHW"
    • changedInput schema / properties / domain / description
      Previous value: -"Amazon marketplace domain. Defaults to amazon.com."New value: +"Domain. Options: amazon.com = amazon.com, amazon.co.uk = amazon.co.uk, amazon.de = amazon.de, amazon.fr = amazon.fr, amazon.it = amazon.it, amazon.es = amazon.es, amazon.ca = amazon.ca, amazon.co.jp = amazon.co.jp, amazon.com.mx = amazon.com.mx, amazon.com.br = amazon.com.br, amazon.in = amazon.in, amazon.com.au = amazon.com.au, amazon.nl = amazon.nl, amazon.se = amazon.se, amazon.pl = amazon.pl, amazon.com.tr = amazon.com.tr, amazon.ae = amazon.ae, amazon.sa = amazon.sa, amazon.sg = amazon.sg Default: amazon.com."
  2. Added

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses cost ('Flat 5 points per successful run'), which is genuine behavioral context beyond the schema, but omits auth requirements, pagination, rate limits, or what happens on an invalid ASIN.

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 short sentences with no waste; the purpose and returned fields are front-loaded before the cost note. Every sentence earns its place.

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

Completeness4/5

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

There is no output schema, and the description partially compensates by listing the returned fields (price, condition, seller, delivery). For a 2-parameter tool with a fully documented schema, this is nearly complete, with only minor gaps around result volume or pagination.

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 references ASIN and the returned fields but adds no syntax, format, or default detail (e.g., the domain default) beyond what the schema already provides.

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?

States a specific verb ('Get'), resource ('all marketplace offers for an Amazon product'), and the key it operates on ('by ASIN'), plus the fields returned (price, condition, seller, delivery). This implicitly distinguishes it from run_amazon_product (product details) and run_amazon_product_search, though it never names a sibling to differentiate explicitly.

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?

There is no when-to-use or when-not-to-use guidance and no alternative tool is named. An agent must infer that this tool is for fetching competing offers on a known ASIN rather than product metadata or search, which is not stated.

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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