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ncosic

Webotee Amazon Product Research

brands_in_operator_network

Read-only

Find brands connected to a target brand through shared sellers or operators. Reveals the operator graph of distribution channels.

Instructions

Find brands that share operators/sellers with a target brand. Returns brands ranked by how many operators they share. Use when the user asks 'what brands are in X's network?', 'brands related to Ninja', 'who else do Ninja's sellers carry?', 'brands in the same seller network', or 'brand family'. This reveals the operator graph — brands connected through shared distribution channels.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandYesThe target brand to find network connections for.
marketplace_idNo1 = Amazon UK, 2 = Amazon US (default)
limitNo
brand_containsNoOnly keep related brands whose name contains this substring.
min_shared_operatorsNoOnly related brands sharing at least this many operators.
max_shared_operatorsNo
min_observed_buybox_daysNo
max_observed_buybox_daysNo
min_seller_countNo
max_seller_countNo
min_control_scoreNo
max_control_scoreNo
Behavior3/5

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

Annotations already declare readOnlyHint: true. The description adds context about the operator graph and ranking, but does not disclose additional behavioral traits like pagination or rate limits.

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?

The description is concise (3 sentences) and front-loaded with purpose and usage examples. Every sentence adds value without repetition.

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?

Given 12 parameters and no output schema, the description lacks details on return format, pagination, or how results are ranked. It covers the core idea but is incomplete for a complex tool.

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

Parameters2/5

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

With only 33% schema description coverage, the description does not explain most parameters beyond the target brand. It fails to compensate for the lack of schema descriptions for 12 parameters.

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 brands sharing operators with a target brand and ranks them, with specific example queries like 'what brands are in X's network?' This distinguishes it from siblings like brand_similar or operator_brands_by_competition.

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?

The description provides explicit example queries for when to use the tool (e.g., 'who else do Ninja's sellers carry?'). However, it does not explicitly state when not to use it or suggest alternative tools.

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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