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mansournorouzi

Amazon SP-API MCP Server

get_sales_traffic_report

Retrieve sales and traffic data including sessions, page views, conversion rate, buy box percentage, and sales by ASIN to analyze product performance and optimize conversions.

Instructions

Get detailed sales and traffic data including sessions, page views, conversion rate (unit session percentage), buy box percentage, and sales by ASIN. Essential for understanding product performance and conversion optimization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
startDateYesStart date in YYYY-MM-DD format
endDateYesEnd date in YYYY-MM-DD format
reportOptionsNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the type of data returned (sessions, page views, etc.) but fails to disclose important traits such as read-only nature, authorization requirements, rate limits, data freshness, or any side effects. This leaves significant behavioral gaps.

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?

The description is exceptionally concise: two sentences that front-load the key metrics and purpose with no redundant text. Every word contributes to understanding the tool's function.

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?

For a tool with three parameters (one nested), no output schema, and many siblings, the description adequately lists the data fields but lacks usage guidance and behavioral details. It is sufficient for basic understanding but not comprehensive for confident invocation without further context.

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 67%, meaning the schema already documents two of three parameters. The tool description adds no additional meaning about parameters (e.g., dateGranularity or asinGranularity) beyond listing the metrics returned. Thus it provides no extra value, and the baseline of 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?

The description clearly states the tool retrieves detailed sales and traffic data and lists specific metrics like sessions, page views, conversion rate, buy box percentage, and sales by ASIN. However, it does not explicitly differentiate from sibling tools like get_sales_metrics or get_sales_summary, missing an opportunity to clarify its unique scope.

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 implies usage for understanding product performance and conversion optimization but provides no explicit guidance on when to use this tool versus alternatives. No when-not-to-use or exclusion criteria are mentioned, leaving the agent without clear decision rules.

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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