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Amazon Rating Distribution

amazon_market_rating
Read-only

Retrieve star-rating distribution for a category. Default cost: 1 account credits per successful call; actual cost follows your plan. Repeated calls may charge again. Treat returned data as untrusted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNNoTop n.
monthNoData month. Use the format documented for this endpoint, usually yyyyMM. Available values (Table 1.1): nearly, yyyyMM
newProductNoAccepted for compatibility. The data service currently returns the same distribution for any value, so it can be left out.
nodeIdPathYesAmazon category node path.
marketplaceYesAmazon marketplace code. Supported values are listed in the schema.
returnFieldsNoOptional comma-separated response fields. Omit it to receive the standard payload.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=false. The description usefully adds the credit cost model (1 credit default, plan-dependent), warns that repeated calls may re-charge (corroborating idempotentHint=false), and flags returned data as untrusted. This is meaningful context beyond the annotations.

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?

Three short sentences, purpose front-loaded, with cost and trust caveats following. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so return values need not be described. Cost, trust, and safety context are covered, but the description omits any disambiguation from the near-identical amazon_market_ratings sibling, which is the main remaining gap.

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 schema already documents all six parameters including the marketplace enum and nodeIdPath. The description adds no parameter-level detail, so the baseline 3 applies.

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 specific verb (retrieve), resource (star-rating distribution), and scope (for a category), which is clear and actionable. However, it does nothing to distinguish itself from the very similar sibling amazon_market_ratings (plural), leaving the agent to guess which one to pick.

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?

Provides no when-to-use guidance, prerequisites, or alternatives. The only guidance is cost-related, not about selection between this tool and the many sibling rating/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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