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NeuralVerge Business Intelligence

Alibaba product

run_alibaba_product

Get full Alibaba product details by ID or URL: price tiers, MOQ, attributes, variants, and supplier. Flat 5 points per successful run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productYesProduct ID or URL. e.g. 1601022319019

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose a real behavioral trait — a flat 5-point cost per successful run — which is genuinely useful for an agent budgeting calls. However, it says nothing about failure behavior, retries, or auth/prerequisite requirements.

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?

Two front-loaded sentences with zero filler: the first states exactly what is returned, the second states the cost. Nothing is repeated from the name or schema.

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?

With no output schema and no annotations, the description partially compensates by enumerating the returned field groups and disclosing the credit cost. It remains silent on error handling and whether the identifier can be from any Alibaba locale, but for a single-param detail lookup it is close to sufficient.

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?

There is a single parameter with 100% schema description coverage ('Product ID or URL. e.g. 1601022319019'), so the schema already carries the semantics. The description's 'by ID or URL' merely echoes it without adding format or validity constraints, making the baseline 3 appropriate.

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 ('Get full ... details') and resource ('Alibaba product') and enumerates the returned field groups (price tiers, MOQ, attributes, variants, supplier). It distinguishes itself from a search tool by requiring an ID or URL, though it never names run_alibaba_product_search explicitly.

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 'by ID or URL' phrasing implies this is a detail-lookup tool used after you already have a product identifier, but it offers no explicit when-to-use guidance or named alternative for discovery flows. Usage is inferable from the sibling set rather than stated.

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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