Skip to main content
Glama

search_amazon

Read-only

Search Amazon for products by keyword. Returns title, price, star rating, review count, Prime / Amazon's Choice / Best Seller badges and product link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesWhat to search for, e.g. 'wireless earbuds', 'standing desk'
domainNoAmazon marketplace TLD (default 'com'; e.g. 'co.uk', 'de', 'co.jp')

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds genuine value by enumerating the returned fields (title, price, star rating, review count, badges, link), which compensates for the absent output schema. It omits pagination, result-count limits, and rate-limit behavior, keeping it short of a 5.

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 tight sentences with the action front-loaded and the return payload second. No filler, no repetition of the title, and every clause contributes information.

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 two-parameter read tool with no output schema, the description supplies the missing return-shape information and the core scoping (Amazon marketplaces via domain). It is close to complete, though pagination/result-limit behavior would make it fully sufficient.

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%: both 'query' and 'domain' are documented with examples and a default, so the schema already carries full parameter semantics. The description adds nothing beyond the schema, making the baseline 3 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?

States a specific verb (Search) and resource (Amazon products) plus scope (by keyword), which cleanly separates it from the many other search_* siblings (search_airbnb, search_flights, search_reddit). The description is self-contained and an agent can route to it without reading any schema.

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 (product lookup by keyword) but gives no explicit when-to-use, when-not-to-use, or alternative routing guidance. It never mentions how it relates to the other search_* tools or say, meta_ads product-related tools, leaving selection to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources