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ncosic

Webotee Amazon Product Research

brands_gaining_sellers

Read-only

Identify brands with the most newly observed sellers within a set time window, signaling potential hijacker pressure or new market entrants. Filter by category to focus on specific niches.

Instructions

Find brands that recently gained the most newly-OBSERVED sellers (sellers whose first-seen date on the brand falls in the window) — an observation signal, NOT confirmed market entry (sparse re-sampling can resurface long-present sellers as 'new'). Optional category filter. Use when the user asks 'brands gaining sellers in [category]', 'brands under hijacker pressure', 'who is seeing new entrants this month', or category-scoped seller-growth signals without naming a specific brand.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
window_daysNoDays back (default 30, max 90).
categoryNo
min_new_sellersNoMinimum new-seller count to surface (default 2).
limitNo
marketplace_idNo1 = Amazon UK, 2 = Amazon US (default)
scopeNotracked = only brands on the user's watchlist; universe = all brands. Default universe.
max_newly_observed_sellers_in_windowNoUpper bound on new-seller count (min is min_new_sellers).
brandNoExact brand match (case-insensitive).
brand_containsNo
min_total_sellers_3mNo
max_total_sellers_3mNo
min_control_scoreNo
max_control_scoreNo
min_seller_churn_30d_pctNo
max_seller_churn_30d_pctNo
min_catalog_churn_30d_pctNo
max_catalog_churn_30d_pctNo
Behavior4/5

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

Annotations already set readOnlyHint=true. Description adds critical context about it being an observation signal, not confirmed market entry, and warns about sparse re-sampling. No contradiction.

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?

Three sentences, front-loads action and nuance. Every sentence adds value; no fluff.

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?

Covers core purpose and key nuance, but with 17 parameters and no output schema, the description does not explain filtering options or return format, leaving gaps for the agent.

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 35% schema description coverage, the description adds minimal parameter context beyond mentioning an optional category filter. Does not compensate for the many undocumented parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it finds brands that recently gained newly-observed sellers, using specific verb 'Find' and resource. It distinguishes from siblings by focusing on brands gaining sellers, but does not explicitly differentiate from similar tools like 'find_new_operators'.

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?

Provides explicit example queries and usage contexts (e.g., 'brands gaining sellers in [category]', 'brands under hijacker pressure'). However, no alternatives or when-not-to-use guidance is given.

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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