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Webotee Amazon Product Research

operator_resells_what

Read-only

Given an ASIN or seller name, discover other ASINs resold by the same operators, ranked by sourcing score and estimated sales, filtering out already tracked items.

Instructions

The arbitrage sourcing feed: given an ASIN (or a seller/operator name), find the OTHER ASINs the operators on that listing also resell, ranked by sourcing fit (our composite sourcing score) then estimated 30-day sales. De-duped against the ASINs the user already tracks, so it surfaces NEW candidates. Use when the user says 'what else does this seller carry', 'find more like this from the same operators', 'arbitrage leads from this ASIN's sellers'. Each candidate ASIN also carries product brand, title, and price (or price range) plus its fulfillment (FBA/FBM/AMZ + amz/fba pct). Amazon US/UK. Optional filters (all default to no filter): min/max sourcing_score, est_units_30d, buybox_avg_price; resold_by_contains; the shared product/fulfillment block (product_brand, product_title_contains, min/max_price, fulfillment_in, amz/fba pct).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinNoAn ASIN whose operators to expand from.
operator_nameNoOr a seller/operator name directly.
marketplace_idNo1 = Amazon UK, 2 = Amazon US (default)
limitNo
min_sourcing_scoreNoOnly candidates with sourcing score >= this.
max_sourcing_scoreNo
min_est_units_30dNo
max_est_units_30dNo
min_buybox_avg_priceNo
max_buybox_avg_priceNo
resold_by_containsNoKeep candidates resold by a seller whose name contains this.
product_brandNoExact product brand (case-insensitive).
product_brand_containsNo
product_title_containsNo
min_priceNo
max_priceNo
fulfillment_inNoComma-separated FBA/FBM/AMZ to keep.
min_fulfillment_amz_dom_pctNo
max_fulfillment_amz_dom_pctNo
min_fulfillment_fba_pen_pctNo
max_fulfillment_fba_pen_pctNo
Behavior4/5

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

Annotations show readOnlyHint=true. Description adds that it's a 'sourcing feed' with ranking by score and sales, de-duped against tracked ASINs, and includes output fields. No destructive actions mentioned, consistent with annotations. Adds useful behavioral context.

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?

Description is well-structured: starts with purpose, then usage, output details, market scope, and filters. Each sentence adds value. Could be slightly shorter, but front-loaded and clear.

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?

Given 21 parameters, no output schema, and many siblings, the description covers what the tool returns and how to filter. It lacks mention of pagination or default limit, but overall provides sufficient context for an agent to use it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 33%, but description groups and explains all filter categories (sourcing score, sales, price, fulfillment, etc.). It clarifies the meaning of 'resold_by_contains' and the shared product/fulfillment block, adding value beyond the schema.

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 the tool finds other ASINs that operators on a given ASIN/seller resell, ranked by sourcing fit. It uses specific verbs ('find', 'surfaces') and distinguishes from siblings like operator_top_asins by focusing on 'what else does this seller carry'.

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?

Explicitly lists three use cases: 'what else does this seller carry', 'find more like this from the same operators', 'arbitrage leads from this ASIN's sellers'. Also mentions de-duping, giving clear context for when to use.

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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