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NeuralVerge Business Intelligence

Zalando Related Products

run_zalando_products_related

Get related products from a Zalando product page (similar, same brand, cross-sell and sponsored recommendations): name, brand, price, discount, image, stock and reason. 1 point per returned record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productYesProduct page URL. e.g. https://www.zalando.de/nike-sportswear-court-borough-recraft-unisex-sneaker-low-white-ni116d0lr-a15.html
max_itemsNoMax items (up to 60) Default: 10.
start_pageNoStarting page Default: 1.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries full behavioral burden. It usefully discloses the billing trait ('1 point per returned record') and enumerates the returned fields, which is real added value. However it says nothing about pagination behavior, failure on invalid URLs, or rate limits.

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

Conciseness4/5

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

A single dense sentence that front-loads the action and resource, then appends the return fields and a cost note. No filler, though the parenthetical enumeration makes it slightly run-on.

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, the description compensates by listing the returned fields (name, brand, price, discount, image, stock, reason) and the cost model, which is exactly what an agent needs. Pagination semantics tied to start_page are the 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%: product, max_items (up to 60, default 10) and start_page (default 1) are all documented in the schema. The description adds no parameter syntax or format detail beyond what the schema already provides, so baseline 3 applies.

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?

States a specific verb and resource ('Get related products from a Zalando product page') and enumerates the relationship types (similar, same brand, cross-sell, sponsored). This clearly distinguishes it from run_zalando_products (single product) and run_zalando_products_search (search) among the siblings.

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 the precondition (you need a product page URL) but never states when to reach for this tool versus run_zalando_products or run_zalando_products_search. No exclusions or alternatives are named, so routing is left to inference.

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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