fulfill_order

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

The description opens with "MUTATES THE LIVE STORE" in all caps, a strong warning about side effects. It also explains that customer notifications are sent when should_send_notification is true. With no annotations provided, the description carries the full burden and does so effectively by disclosing these behavioral traits.

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 concise and well-structured: a front-loaded mutation warning, a one-sentence purpose statement, then a compact enumeration of key details. No fluff or redundant phrases. Every sentence provides valuable information.

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 output schema exists, the description does not need to explain return values. It covers the main contextual aspects: mutation warning, usage condition, and detailed parameter semantics for the non-obvious fields. The only minor omission is more explanation about order_id, but that is trivial.

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 input schema has 0% description coverage and the shipments object is loosely defined with additionalProperties: true. The description compensates by enumerating the accepted fields (carrierName, service, shipDate, trackingNumber, trackingUrl) and explaining the default and effect of should_send_notification. Order_id is not detailed but is self-evident from the name.

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 the action: "Mark an order fulfilled with shipment details." This is specific and distinguishes it from sibling read/list tools like list_orders and get_order. The verb "fulfill" and resource "order" are unambiguous, and the context of shipment details adds clarity.

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 description explicitly says "Use only when actually shipping an order," which is a clear usage guideline. However, it does not mention when not to use it or explicitly name alternatives, though the sibling tools are primarily read operations. The context of "actually shipping" provides enough guidance.

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