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smartscout_market_analysis

Analyze Amazon market metrics by category, subcategory, or brand to evaluate performance and guide marketplace decisions.

Instructions

Analyze market metrics for a category or subcategory

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandNoSpecific brand to analyze within category
categoryNoCategory to analyze
subcategoryNoSubcategory to analyze

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?

No annotations are provided, so the description must carry the full behavioral burden. It says nothing about read-only safety, required permissions, rate limits, return format, or what metrics are analyzed. This is a significant gap for an analysis tool.

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 the brevity leaves important details absent rather than being a model of informative 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?

Given no annotations, no output schema, and three optional parameters, the description is far too thin. It does not explain what metrics are returned, when to choose this tool over siblings, or any behavioral constraints, leaving the agent underinformed.

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 each parameter is already documented in the schema. The description mentions category and subcategory but omits the brand parameter, and adds no format or semantic nuance beyond what the schema provides. Baseline 3 is appropriate.

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?

States a clear verb ('Analyze') and resource ('market metrics') with a scoping constraint (category or subcategory). However, it does not distinguish this tool from siblings like smartscout_competitor_analysis or smartscout_opportunity_finder, which also analyze market data.

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, nor any conditions, prerequisites, or exclusions. The description merely states what it does, leaving the agent to infer usage context.

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