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NeuralVerge Business Intelligence

Amazon product search

run_amazon_product_search

Search Amazon and extract product listings (title, URL, price, rating) across paginated results. 1 point per returned record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch term. e.g. wireless mouse
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.
max_itemsNoMax items (up to 250) Default: 25.
start_pageNoStarting page Default: 1.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • 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."
    • changedInput schema / properties / max_items / description
      Previous value: -"Maximum number of products to return (1-250, default 25). Billed at 1 point per returned record."New value: +"Max items (up to 250) Default: 25."
    • changedInput schema / properties / query / description
      Previous value: -"Search term, e.g. 'wireless mouse'."New value: +"Search term. e.g. wireless mouse"
    • changedInput schema / properties / start_page / description
      Previous value: -"Result page to start from (default 1)."New value: +"Starting page Default: 1."
  2. Added

TDQS

B3.4/5.0
Behavior3/5

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 usefully discloses a cost model ('1 point per returned record') and pagination behavior, but says nothing about auth requirements, rate limits, or bounds on returned data beyond the schema.

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 zero filler; the extracted-field list and cost notice are front-loaded and immediately actionable.

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?

For a search tool whose parameters are fully documented by the schema, the description adequately covers scope and result contents, and supplements the missing output schema by naming returned fields plus the cost per record. Only the absence of sibling routing keeps it from being fully complete.

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 schema already documents all four parameters including the domain enum and item bounds. The phrase 'across paginated results' hints at start_page/max_items behavior but adds little 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?

States a specific verb (search/extract) and resource (Amazon product listings) and enumerates the returned fields. It implicitly distinguishes itself from siblings like run_amazon_product (single-item detail) and run_amazon_product_offers, but never names them 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?

No when-to-use or when-not-to-use guidance and no mention of alternatives such as run_amazon_product for detail lookups. Usage is only implied by the tool name and the word 'search'.

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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