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Webotee Amazon Product Research

categories_amazon_retreating

Read-only

Find categories with net brand exits exceeding entries over 90 days, revealing where Amazon is pulling back for competitor opportunities.

Instructions

Find categories where Amazon is retreating — net brand exits exceed entries over 90 days (amazon_expansion_net_90d < 0). Returns categories ordered by retreat magnitude. Use when the user asks 'where is Amazon pulling back?', 'which categories is Amazon leaving?', or 'Amazon retreat opportunities'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (capped at 10). Default 10.
marketplace_idNo1 = Amazon UK, 2 = Amazon US (default)
category_nameNoExact category name (case-insensitive).
category_name_containsNo
velocity_tier_inNoComma-separated velocity tiers to keep.
min_amazon_expansion_net_90dNo
max_amazon_expansion_net_90dNo
min_brand_countNo
max_brand_countNo
min_asin_countNo
max_asin_countNo
min_pct_amazon_plNo
max_pct_amazon_plNo
min_amz_retail_dominance_pctNo
max_amz_retail_dominance_pctNo
Behavior3/5

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

Annotations already mark the tool as read-only. The description adds that results are ordered by retreat magnitude, but does not disclose output format, pagination, or limits. Some behavioral context is added, but not extensively.

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?

The description is concise at 3 sentences, front-loads the main purpose, and avoids unnecessary detail. It is well-structured for quick understanding.

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

Completeness2/5

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

Given 15 parameters, no output schema, and many sibling tools, the description is too brief. It lacks information on output format, filtering options, and how to interpret results, making it incomplete for effective tool use.

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?

Only 27% of parameters have schema descriptions, and the tool description does not provide additional parameter documentation. It fails to compensate for the low schema coverage, leaving many parameters undocumented.

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 the tool finds categories with net Amazon brand exits over 90 days and gives example user queries. However, it does not differentiate from similar sibling tools like category_new_entrants or category_undercompeted_brands.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

The description provides example queries for when to use it but does not specify when not to use it or mention alternative tools, which are abundant among siblings.

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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