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get_amazon_search_results

Scrape Amazon search results using ScrapingBee.

Scope: one query per call. To run many queries in one pass, or to write results to disk instead of into the conversation, use the ScrapingBee CLI — scrapingbee <command> --input-file queries.txt --output-dir results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoResponse-header label only.
pagesNoThe number of pages to scrape.
queryYesThe search query to perform.
domainNoThe Amazon domain to use for the search (e.g., com, co.uk, de).com
countryNoThe country code for localization (e.g., us, uk, de). Do not combine with a matching domain (e.g., country=fr&domain=fr).
sort_byNoThe sort order to use for the search (most_recent, price_low_to_high, price_high_to_low, featured, average_review, bestsellers).
add_htmlNoWhether to return the HTML along with the search results.
currencyNoThe currency code (ISO 4217) to display results (e.g., USD, GBP, EUR).
languageNoThe language code to display results (e.g., en, fr, de).
zip_codeNoThe ZIP code to use for delivery localization.
screenshotNoForce a browser screenshot (returns base64 image).
start_pageNoThe page number to start scraping from.
category_idNoThe category ID to use for the search.
merchant_idNoThe merchant ID to use for the search.
light_requestNoWhether to use a light request or not.
autoselect_variantNoAutomatically select the default/most-popular variant.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations, so the description carries the full behavioral burden, and it does disclose the 'one query per call' constraint and the disk-vs-conversation tradeoff. However, for a scraping tool it omits cost/rate limits, credential requirements, and anti-bot/throttling behavior, leaving meaningful gaps.

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?

Front-loads verb+resource, then adds the scope constraint and CLI escape hatch in a compact flow with no filler. The embedded CLI command is the only element that inflates it slightly.

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?

An output schema exists, so return values need not be explained, and the schema documents all parameters. But with no annotations and no output/permission context, the description leaves behavioral details (auth, rate limits, cost) uncovered for a 16-parameter scraping tool.

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% across all 16 parameters, including the non-obvious country/domain conflict rule, so the schema does the heavy lifting. The description adds no parameter-level meaning beyond it, which is the expected baseline 3.

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 ('Scrape') and resource ('Amazon search results') plus the backing service (ScrapingBee). This distinguishes it reasonably from get_amazon_product_details and get_amazon_pricing, though it never explicitly names those siblings to sharpen the boundary.

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?

Explicitly defines the scope ('one query per call') and routes the agent to an alternative (the ScrapingBee CLI) with the precise conditions that select it (many queries in one pass, or write to disk). It stops short of comparing against the sibling search/product tools, so it earns a 4 rather than a 5.

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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