amazon-product-data
Server Details
Amazon search and product extraction: titles, prices, ASINs, and listings as clean JSON.
- 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
Scored across 2 tools
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.
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.
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.
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 toolsamazon_productDInspect
V1 Amazon Product
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| maxTimeout | No |
TDQS
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.
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.
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.
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.
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.
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.
amazon_searchDInspect
V1 Amazon Search
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | ||
| country | No | ||
| language | No | ||
| maxTimeout | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavior such as read-only status, result limits, pagination, or failure modes. The phrase 'V1 Amazon Search' discloses none of these traits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than effective conciseness. There is no front-loaded useful content; the only content is a version label and a restatement of the tool name.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, the absence of an output schema, and a modest four-parameter input schema, the tool requires a substantive description to be usable. 'V1 Amazon Search' leaves virtually every practical detail undefined.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description provides no meaning for the four parameters (query, country, language, maxTimeout). An agent gets no guidance on formats, defaults, allowed values, or which parameters are meaningful for an Amazon search.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'V1 Amazon Search' merely restates the tool name and adds a version label; it provides no verb-plus-resource statement of actual functionality. It does nothing to distinguish this tool from the sibling amazon_product or any other search tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool, when not to use it, or how it relates to amazon_product. The description offers no context for choosing among alternatives.
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.
2 tool updates
- First observed
amazon_product - First observed
amazon_search
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