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TrueScrape

amazon: Search results

amazon_search
Read-only

Search results. Public Amazon search results for a query: position, price, rating and badges per item. Costs 3 credits.

Input Schema

NameRequiredDescriptionDefault
tldNoMarketplace TLD, default "com". One of: com, co.uk, ca, de, es, fr, ie, it, co.jp, co.za, in, cn, com.sg, com.mx, ae, com.br, nl, com.au, com.tr, sa, se, pl
pageNo
queryYesSearch terms, e.g. "wireless mouse"
country_codeNoBest-effort locale hint (ISO 3166-1 alpha-2).
cache_max_ageNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, openWorldHint), but the description adds a genuinely non-obvious operational fact: each call costs 3 credits. It does not disclose result counts, rate limits, or whether results are scraped/cached at call time, which keeps it from 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with the substantive content front-loaded; the credit cost is surfaced immediately. The leading fragment 'Search results.' largely restates the title and is the only wasted text.

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

Completeness3/5

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

With no output schema, the description does a reasonable job listing returned fields, and the credit cost is disclosed. But it omits pagination behavior despite a 'page' param, does not say how many results per page come back, and gives no guidance on tld versus country_code — gaps an agent would hit on the first call.

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 60%, with tld, query, and country_code documented in-schema while page and cache_max_age are bare. The description adds no parameter meaning beyond restating that a query drives the search, so the baseline 3 for partial coverage is appropriate.

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+resource ('Public Amazon search results for a query') and enumerates the per-item fields returned (position, price, rating, badges), which implicitly separates it from amazon_product/amazon_offers. It does not explicitly name or contrast with those siblings, so it stops short of a 5.

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?

There is no explicit when-to-use statement or named alternative, so the agent must infer from the return fields that this is the discovery/listing tool and that amazon_product or amazon_offers handle detail lookups. Usage is implied rather than 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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