Skip to main content
Glama
Decodo

Decodo MCP Server

amazon_sellers

Read-only

Extract Amazon seller details automatically by providing a seller ID, with options for domain, device type, and geographic location.

Instructions

Scrape Amazon Seller information with automatic parsing

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesAmazon seller ID (e.g., "A1R0Z7FJGTKESH")
jsRenderNoShould the request be opened in a headless browser, false by default
domainNoAmazon domain (e.g., amazon.com, amazon.co.uk)
deviceTypeNoDevice type to emulate for the request
geoNoAmazon geo location (e.g., 10001 for US ZIP code)
Behavior2/5

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

Annotations provide readOnlyHint and openWorldHint, but the description adds no additional behavioral details (e.g., error handling, data freshness, or limits). It merely restates the scraping intent.

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?

The description is a single, concise sentence with no wasted words. It front-loads the key action and resource, making it easy to parse.

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

Completeness2/5

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

Given the complexity (5 parameters, no output schema), the description is too sparse. It lacks information about return format, error conditions, or usage nuances, leaving gaps despite helpful annotations.

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 parameters. The description adds no extra meaning beyond what's in the schema, meeting the baseline for high coverage.

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?

The description clearly states 'Scrape Amazon Seller information with automatic parsing', using a specific verb and resource. It distinguishes from sibling tools like amazon_product or amazon_search, which target different data types.

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 guidance on when to use this tool versus alternatives, nor any mention of prerequisites or exclusions. With many sibling tools, explicit usage context is missing.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Decodo/mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server