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amazon-product-data

Server Details

Amazon search and product extraction: titles, prices, ASINs, and listings as clean JSON.

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Status
Healthy
Last Tested
Transport
Streamable HTTP ยท MCP 2025-11-25
URL
Repository
DataLeadsPRO/amazon-product-data
GitHub Stars
0
Server Listing
amazon-product-data

TDQS

D1.8/5.0

Scored across 2 tools

Disambiguation4/5

The two tools are clearly distinct: one fetches a specific product while the other performs a search. Even with bare-bones descriptions, the names make the boundary obvious, though richer descriptions would reduce any remaining ambiguity.

Naming Consistency3/5

Both tools share the 'amazon_' prefix, but one uses a noun ('product') and the other a verb/noun hybrid ('search'). There is no consistent verb_noun pattern, though the small number of tools keeps the inconsistency minor.

Tool Count3/5

Two tools is on the low end for a product data server, but it may cover the minimal core of 'get by ID' and 'search'. The set feels thin rather than well-scoped.

Completeness3/5

The basic lookup and search operations are present, but a product data server often expects additional surface like price history, reviews, categories, or related products. Significant gaps exist for richer workflows, though basic retrieval is covered.

Available Tools

2 tools
amazon_productDInspect

V1 Amazon Product

ParametersJSON Schema
NameRequiredDescriptionDefault
urlNo
maxTimeoutNo

TDQS

D1/5.0
Behavior1/5

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 provides zero information about side effects, return format, expected inputs, or any operational details. An agent has no basis to predict behavior.

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

Conciseness1/5

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

The description is a single non-informative phrase. This is not conciseness but extreme under-specification. It provides no content to structure or front-load, and fails to communicate even the basic function.

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

Completeness1/5

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

For a tool with two parameters and no output schema, the description is wholly inadequate. It lacks any explanation of inputs, expected results, failure modes, or relationship to the sibling tool. An agent cannot safely or correctly invoke it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% coverage and the description adds nothing about the 'url' or 'maxTimeout' parameters. Neither the schema nor the description explains their meaning, format, or purpose. The agent cannot correctly populate these fields.

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

Purpose1/5

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

The description 'V1 Amazon Product' is a version label, not a functional description. It neither states a verb nor clarifies the resource's purpose, making it impossible for an agent to infer what the tool does. It is essentially a restatement of the tool name with a version prefix.

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?

There is no guidance on when to use this tool versus the sibling amazon_search. No context, no exclusions, no alternative routing. The description is silent on usage entirely.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 2 tool updates
    • First observedamazon_product
    • First observedamazon_search

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