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 usefully discloses cost ('Flat 5 points per successful run') and the retrieve-only nature implied by 'Get', but says nothing about failure modes, unsupported URLs, or rate limits. It adds real value over structured data but leaves behavioral gaps.

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?

A single field-enumerating sentence plus a short cost note, with the action and scope front-loaded. The long field list is justified since no output schema exists, though it is dense.

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?

With no output schema, the description compensates by listing what is returned (price, stock, sizes, attributes, variants) and adds cost. The main missing piece is when to choose this over the search sibling.

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 100% and the single 'product' parameter is documented in the schema with a concrete example URL. The description's 'by product URL' adds nothing beyond that, so the baseline 3 applies.

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?

States a specific verb ('Get') and resource ('Zalando product details') scoped to lookup by product URL, then enumerates the returned fields. This clearly distinguishes it from run_zalando_products_search (query-based) and run_zalando_products_related (related items).

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?

The 'by product URL' phrasing implies this is the direct-lookup counterpart to search, but no alternative is named and no when-not condition is given. Usage is inferable rather than stated.

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