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Glama

smartscout_seller_products

Retrieve products sold by a specific Amazon seller using seller ID, with optional limit and minimum Buy Box percentage filters.

Instructions

Get products sold by a specific seller

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results
sellerIdYesSeller ID
minBuyBoxPercentNoMinimum buy box percentage

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden but says nothing beyond the read intent. It omits pagination behavior, result ordering, default limit implications, rate limits, and whether minBuyBoxPercent acts as a filter on the returned set.

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?

A single front-loaded sentence with no wasted words. It is efficient, though its extreme brevity borders on under-specification rather than true conciseness.

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?

For a 3-parameter read tool with no annotations and no output schema, the description does not explain what a product record contains, pagination, or filtering behavior. It is too thin to let an agent call the tool confidently without opening the schema.

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 100%, so every parameter is documented in the schema and the baseline is 3. The description adds no extra semantics about sellerId format, limit bounds, or what minBuyBoxPercent filters.

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 states a specific verb ('Get') and resource ('products sold by a specific seller'), which is clearer than the bare tool name. However, it does not distinguish itself from close siblings like smartscout_seller_details or smartscout_top_sellers, leaving the agent to infer the boundary.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives such as smartscout_seller_details or smartscout_product_search. Usage is only implied by the tool name; there are no exclusions or conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.