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run_zalando_products

Extract full Zalando product details from a product URL, including price, stock, sizes, images, attributes, and color variants for catalog or shopping agents.

Instructions

Get full Zalando product details by product URL: name, brand, colour, price, list price, discount, 30-day lowest price, images, description, category, stock, sizes with stock levels, attributes (material, care, details) and colour variants. Flat 5 points per successful run.

Input Schema

NameRequiredDescriptionDefault
productYesProduct page URL. e.g. https://www.zalando.de/nike-sportswear-court-borough-recraft-unisex-sneaker-low-white-ni116d0lr-a15.html

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.1

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It helpfully enumerates the returned data (including derived fields like '30-day lowest price' and 'discount') and discloses the credit cost ('Flat 5 points per successful run'), which is real behavioral value. It says nothing about auth requirements, failure modes, or rate limits, so it remains incomplete for a zero-annotation tool.

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?

One front-loaded sentence naming the resource, followed by a compact label list of return fields and a short cost sentence. The field enumeration is long but every item earns its place as output disclosure, and there is no boilerplate filler.

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?

No output schema exists, so the detailed field list is the agent's only preview of the return shape and it covers that well; the single input parameter is fully specified. What is missing is guidance on when to prefer this over the sibling search/related tools.

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?

The single parameter is fully documented in the schema (100% coverage) with a concrete example URL. The description only restates 'by product URL', adding no new syntax or constraint information, so the baseline of 3 for high schema coverage applies.

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 and resource ('Get full Zalando product details'), and the 'by product URL' phrasing implicitly separates it from the search/related siblings. It never names those siblings explicitly, so an agent still infers the boundary rather than being told it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use statement, no exclusions, and no reference to alternatives. The agent is left to infer that a single-URL lookup is preferred over run_zalando_products_search when a URL is already in hand, but nothing in the text says so.

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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