Bestellpositionen (Transaktionen) abrufen

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

With no annotations, the description carries the transparency burden. It discloses that the operation is a read ('Liest') and importantly states that buyer data is filtered out, which is a meaningful behavioral detail. However, it does not mention pagination behavior, authentication requirements, error cases, or the response structure beyond the listed fields.

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?

The description is two sentences, front-loaded with the main purpose, and every clause adds value. It efficiently communicates the tool's scope and a key behavioral caveat without unnecessary elaboration.

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?

Given the lack of an output schema and annotations, the description provides a reasonable summary of the returned data (listing, SKU, quantity, price) and a notable exclusion (buyer data). However, it omits details about pagination limits, response format, and other common contextual aspects, leaving some uncertainty for the agent.

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?

The schema provides no descriptions and the description does not mention the limit or offset parameters at all. Although the parameter names are conventional and the schema includes defaults and min/max, the description adds no additional meaning about how pagination works or how these values affect results, so it fails to compensate for the 0% schema coverage.

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?

The description clearly states a specific action: reading individual order items (transactions) from the shop, listing the included attributes like listing, SKU, quantity, and price. It is easy to distinguish from the sibling tool etsy_get_receipts due to the explicit focus on transactions rather than receipts, though it does not name the alternative directly.

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?

No explicit guidance is given for when to use this tool versus alternatives like etsy_get_receipts. The note about excluding buyer data ('buyer_user_id wird herausgefiltert') hints that this tool is not for buyer information, but it does not explicitly state when to prefer another tool or provide exclusion criteria.

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