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shop_search_preview

FREE preview of Shop Search: top Amazon result for a product query (full version returns 20+ results incl. live Shopify stores with cart-to-checkout routes). Use for quick product lookups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesProduct query, e.g. "korean sunscreen spf50"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It discloses that this is a limited preview returning only the top Amazon result, which is useful, but it does not mention latency, authentication, rate limits, or response shape. For a simple single-param lookup, this is adequate but not deeply transparent.

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 concise sentences with the key limitation ('FREE preview', 'top Amazon result') placed upfront. It includes the alternative full version's capabilities and a usage direction without wasting words.

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 tool with one parameter and no output schema, the description is reasonably complete: it states what the tool does, its limitation, and when to use it. It could mention what the returned result looks like, but the expected response is clearly implied by 'top Amazon result'.

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 schema already provides 100% coverage for the single `query` parameter, including an example. The description adds essentially the same meaning ('product query'), so it does not materially enhance parameter understanding 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 a free preview that returns the top Amazon result for a product query, and distinguishes it from the full version that returns 20+ results. The intended resource ('Shop Search' results) and operation (searching a product query) are evident, though the description does not use an explicit imperative verb like 'returns'.

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

Usage Guidelines4/5

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

It explicitly says to use the tool for quick product lookups, which gives clear usage context. It also hints that the full version is appropriate when more than one result or broader coverage is needed, though it does not explicitly state exclusions or name the sibling tool as the alternative.

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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