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ncosic

Webotee Amazon Product Research

category_undercompeted_brands

Read-only

Identify brands in a category with proven multi-seller demand and low competition, using minimum seller thresholds to filter out single-seller listings.

Instructions

Find specific BRANDS within a category that have proven multi-seller demand but are still under-competed (a min-seller floor drops single-seller / brand-owner-only listings). Returns BRANDS — not niches or sub-categories. Use for 'undercompeted brands in ', 'low competition brands in Toys', 'which brands can I source in '. Do NOT use for 'under-served niches', 'niches in ', or 'find a niche to enter' — those are SUBCATEGORY questions; use find_underserved_niches instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
category_idNoRoot category ID to search within.
category_nameNoCategory name (fuzzy match if category_id not provided).
max_sellersNoMaximum unique sellers (default 20).
min_sellersNoMinimum unique sellers (default 10). Drops single-seller / brand-owner-only 'PL junk' so results show proven multi-seller demand.
min_buybox_daysNoMinimum observed buybox days in last 3 months (default 30).
max_avg_priceNoMaximum average price in USD. Omit for no cap.
min_avg_priceNoMinimum average price in USD. Omit for no floor.
limitNo
marketplace_idNo1 = Amazon UK, 2 = Amazon US (default)
brandNoExact brand match (case-insensitive).
brand_containsNo
min_asin_countNo
max_asin_countNo
min_control_scoreNo
max_control_scoreNo
min_velocity_90dNo
max_velocity_90dNo
Behavior4/5

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

Annotations already declare readOnlyHint=true. Description adds context about the min_sellers floor behavior and that results show 'proven multi-seller demand'. However, it does not disclose output format, pagination, or rate limits. No contradiction with annotations.

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?

Description is well-structured, front-loading the key function. Every sentence serves a purpose: definition, usage, exclusions. No unnecessary words. Efficient for its information density.

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 the tool complexity (17 params, no output schema), the description covers core concept and usage boundaries well. Lacks output description and default behavior, but the annotations and sibling context compensate. Could be more complete but adequate.

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 53%. Description adds meaning for the 'min_sellers' parameter by explaining its role in filtering out single-seller listings. Other parameters are not elaborated, but the overall purpose is clear. Baseline for moderate coverage is around 3.

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?

Description clearly states verb 'find', resource 'BRANDS', and scope 'within a category that have proven multi-seller demand but are still under-competed'. It explicitly distinguishes from sibling tool 'find_underserved_niches' by stating what it returns and what not.

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?

Provides explicit usage examples ('undercompeted brands in <category>') and contraindications ('Do NOT use for under-served niches...') with a direct sibling reference. Tells agent exactly when and when not 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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