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Amazon Intelligence SS: market/statistics API

nexscope_data_ss_market_statistics
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Amazon Intelligence SS: market/statistics API.

Input Schema

NameRequiredDescriptionDefault
topNNoNumber of head Listings, used for head-related indicator caliber
monthNo`nearly` or `yyyyMM`
newProductNoNew product definition (month)
nodeIdPathYesNode ID path string, for example `1064954:1069242:1069784:1069820:1069838:1069828`
marketplaceYesSite encodingUS

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description adds nothing beyond the safety profile. It does not say what data is returned, whether results are scoped by nodeIdPath, or how 'topN'/'newProduct' affect the response. No contradiction with annotations.

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

Conciseness2/5

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

It is short, but the brevity is under-specification rather than economy: one sentence that adds no information beyond the title. Nothing is front-loaded because there is nothing substantive to front-load.

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 5-parameter analytical tool with no output schema, the description should indicate what the statistics call returns and how nodeIdPath/marketplace constrain the result set. Neither is present, leaving the agent reliant entirely on field-level schema text.

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 itself; per calibration this sets a baseline of 3. The description contributes no additional meaning about the interaction of parameters (e.g. required nodeIdPath with optional topN/month), so it cannot exceed the baseline.

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

Purpose2/5

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

The description restates the title and tool name ('Amazon Intelligence SS: market/statistics API') without a verb, resource scope, or any detail about what statistics are produced. It hints at a market-statistics resource but does not distinguish it from siblings like nexscope_data_ss_market_research or nexscope_amazon_market_statistics.

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

Usage Guidelines1/5

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

No when-to-use guidance, no exclusions, and no mention of any sibling alternative. An agent must guess between this tool, nexscope_data_ss_market_research, nexscope_data_ss_competitor_lookup, and the numerous other Amazon market tools.

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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