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Glama

smartscout_keyword_brands

Retrieve brands tied to Amazon search terms; filter by brand and set result limits to analyze keyword-brand relationships.

Instructions

Get brands associated with search terms

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandNoBrand name
limitNoNumber of results
keywordNoSearch term

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.3/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: no read-only nature, no pagination, no rate limits, no return shape. 'Get' weakly implies a read, but nothing about what 'associated' means or how results are ordered is stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no wasted words, but its brevity reflects under-specification rather than disciplined conciseness. There is nothing to front-load or structure because almost no information is conveyed.

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 tool with no annotations and no output schema, the description is too thin. It does not explain the keyword-to-brand relationship, whether inputs are required, or what a caller receives, leaving an agent unable to call it confidently.

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 the three parameters (brand, limit, keyword) are already documented in the schema. The description adds no meaning beyond that, so the baseline of 3 applies.

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

Purpose3/5

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

States a verb ('Get') and a resource ('brands associated with search terms'), but the verb is generic and the resource relationship is left vague. With siblings like smartscout_brand_search, smartscout_keyword_products, and smartscout_product_keywords, the description does not clarify how this tool differs from those that also bridge keywords and brands.

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 when-to-use guidance, no prerequisites, and no mention of alternatives. An agent cannot tell from this text whether to call it versus smartscout_brand_search or smartscout_keyword_search for a given task.

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