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ncosic

Webotee Amazon Product Research

brand_new_asins

Read-only

Show ASINs recently added for a brand. Find new listings with pricing, fulfillment type, and seller metrics.

Instructions

Show ASINs that recently appeared for a brand. Use when the user asks 'new products for Nike', 'recently added ASINs', 'what new listings does this brand have', or any question about a brand's recent catalog additions. Each ASIN carries product brand, title, price (or price range) and fulfillment (FBA/FBM/AMZ + amz/fba pct).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandYesBrand name (case-insensitive).
since_daysNoHow far back to look (default 30, max 180).
marketplace_idNo1 = Amazon UK, 2 = Amazon US (default)
limitNo
asinNoExact ASIN match.
asin_containsNo
first_seen_fromNoYYYY-MM-DD (since_days already bounds the lower edge).
first_seen_toNo
last_seen_fromNo
last_seen_toNo
min_seller_countNo
max_seller_countNo
min_latest_priceNo
max_latest_priceNo
latest_buybox_sellerNoExact most-recent buy-box seller (case-insensitive).
latest_buybox_seller_containsNo
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 indicate readOnlyHint=true, and description adds behavioral details: output includes brand, title, price/price range, and fulfillment info (FBA/FBM/AMZ + percentages). No contradictions.

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 with clear, front-loaded purpose and usage examples. Every sentence adds value.

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?

With 26 parameters and no output schema, the description explains output fields but omits pagination, ordering, or default behavior. Adequate but not fully comprehensive.

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?

Schema description coverage is only 31%. The description mentions key output fields but does not explain many filtering parameters (e.g., first_seen_from, last_seen_to, fulfillment percentages). Insufficient compensation for low coverage.

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 the tool shows new ASINs for a brand, with specific user query examples like 'new products for Nike' and 'recently added ASINs'. It differentiates from sibling tools that focus on other brand metrics.

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?

Explicitly tells when to use the tool with example queries. Does not provide exclusions or alternatives, but context is clear for common use cases.

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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