Easyparser — Amazon Product & Seller Data

get_bestseller_rank

Read-only

Get a product's current Best Sellers Rank (BSR): its numerical rank in main categories and sub-category node identifiers. A lightweight, single-purpose tool for popularity and demand tracking.

Use this tool when you only need the rank — e.g. 'Is this product selling well?' or daily rank monitoring. Lower rank number means higher sales velocity. If you also need price, rating or content, use get_product_detail instead (it includes BSR along with everything else). For historical rank trends, use get_sales_history. Costs 1 credit.

Input Schema

Name	Required	Description	Default
`asin`	Yes	Amazon Standard Identification Number — a 10-character alphanumeric product identifier (e.g. B0CJB6V2L5). Found in the product URL after /dp/ or /gp/product/.
`domain`	No	Amazon marketplace domain extension. Determines the regional Amazon site the data is fetched from. Use the domain that matches the user's market — prices, availability and rankings differ across marketplaces.	.com

Output Schema

Name	Required	Description
`data`	No	Parsed Amazon data for the operation.
`success`	Yes	True when the request completed.
`operation`	Yes	Easyparser operation that ran, e.g. DETAIL or OFFER.
`request_id`	No	Easyparser request ID, useful for support and error logs.
`credits_used`	No	Credits charged for this request.
`credits_remaining`	No	Credits left on the account after this request.

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 11, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "additionalProperties": false,
+  "properties": {
+    "credits_remaining": {
+      "description": "Credits left on the account after this request.",
+      "type": "number"
+    },
+    "credits_used": {
+      "description": "Credits charged for this request.",
+      "type": "number"
+    },
+    "data": {
+      "description": "Parsed Amazon data for the operation."
+    },
+    "operation": {
+      "description": "Easyparser operation that ran, e.g. DETAIL or OFFER.",
+      "type": "string"
+    },
+    "request_id": {
+      "description": "Easyparser request ID, useful for support and error logs.",
+      "type": "string"
+    },
+    "success": {
+      "description": "True when the request completed.",
+      "type": "boolean"
+    }
+  },
+  "required": [
+    "success",
+    "operation"
+  ],
+  "type": "object"
+}

First observedSep 6, 2026

TDQS

A4.5/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety is covered. The description adds genuinely useful behavior beyond them: a credit cost ('Costs 1 credit') and the interpretation rule that a lower rank number means higher sales velocity, which is domain semantics the annotations cannot convey. It stops short of describing the rank's scope caveats (e.g. category-level granularity limits) or response latency.

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?

Front-loaded with what the tool returns, then usage triggers, then the alternative-routing rule, then cost. Four short sentences with no filler or repetition of the schema.

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

Completeness5/5

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

With an output schema present, the return shape need not be restated, and the description correctly focuses on scope, routing, and cost. For a 2-parameter single-purpose read tool with full annotation coverage, an agent has everything needed to call it correctly.

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%: the asin pattern, URL derivation hint, and domain enum with marketplace guidance are all documented in the schema itself. The description adds no parameter-level syntax or format detail beyond that, so the baseline 3 applies.

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 and resource ('Get a product's current Best Sellers Rank (BSR)') and immediately clarifies the payload: numerical rank plus sub-category node identifiers. It explicitly differentiates itself from get_product_detail and get_sales_history, so an agent can route without opening 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 Guidelines5/5

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

Gives concrete when-to-use triggers ('Is this product selling well?', daily rank monitoring) and names two alternatives with the exact condition that selects each: get_product_detail when price/rating/content are also needed, get_sales_history for historical trends. Nothing is left to inference.

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

All Easyparser — Amazon Product & Seller Data tools Inspect

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