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Traject Ecommerce

by io.github.pipeworx-io

Amazon Product

amazon_product
Read-onlyIdempotent

Get Amazon product details by ASIN — title, brand, price, rating, ratings total, bestsellers rank, and image. Uses your Rainforest API key. Example: amazon_product({ asin: "B08N5WRWNW", amazon_domain: "amazon.com", _apiKey: "your-rainforest-key" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinYesAmazon Standard Identification Number, e.g. "B08N5WRWNW"
_apiKeyYesYour Rainforest API key (get one at trajectdata.com) — passed as the api_key query param
amazon_domainNoAmazon marketplace domain (default "amazon.com"), e.g. "amazon.co.uk"

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds minor context about the Rainforest API key and example call, but does not disclose significant additional behavioral traits beyond what annotations cover.

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 one sentence plus an example, front-loaded with the core purpose and key details. 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?

Despite no output schema, the description lists returned fields (title, brand, price, etc.) and mentions the API key source. It could clarify optional parameters or error handling, but is sufficient for a simple lookup tool.

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 parameters. The description adds an example usage but does not add essential meaning beyond what the schema provides.

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

Purpose5/5

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

The description clearly states the verb 'Get' and the resource 'Amazon product details by ASIN', and lists specific fields returned. It clearly distinguishes from sibling tools like amazon_search and amazon_reviews.

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 use when you have an ASIN and need product details, but does not provide explicit guidance on when to use this tool versus alternatives like amazon_search or amazon_reviews. No when-not-to-use or exclusion criteria.

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

All Traject Ecommerce toolsInspect
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TDQS

A3.8/5.0
Disambiguation4/5

Most tools have distinct purposes, e.g., Amazon and Walmart tools are platform-specific. A few overlapping tools like ask_pipeworx, ask_pipeworx_grounded, and deep_research are differentiated by clear usage guidance, so an agent can disambiguate with reasonable effort.

Naming Consistency3/5

Tool names mix verbs and nouns with varying styles (e.g., ai_visibility_check, compare_entities, scan_competitor_ai_presence). There is no uniform pattern like verb_noun; some are descriptive phrases. The inconsistency is noticeable but not chaotic.

Tool Count2/5

36 tools is too many for a server named 'Traject Ecommerce', as many tools cover unrelated domains (Polymarket, npm packages, SEC filings). The scope is excessively broad, making the server feel like a general-purpose plugin rather than a focused ecommerce toolset.

Completeness2/5

For an ecommerce-focused server, it only covers Amazon and Walmart product/search/reviews, missing major platforms and backend operations. The broader tool set is detailed but not ecommerce-specific, leaving obvious gaps for the intended purpose.

Resources