dickerdata_create_order

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

With no annotations, the description carries full responsibility for behavioral disclosure. It only states the action of placing an order and gives no details about side effects, order submission flow, confirmation/order ID response, reversibility, or authentication requirements.

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 a single, efficient sentence that front-loads the core action and object. Every word earns its place with no filler or redundancy.

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?

This is a mutation tool with five parameters, a nested deliveryAddress object, no output schema, and no annotations. The description does not explain what happens after the order is placed, what the response contains, or how errors are surfaced, leaving a significant gap for an agent invoking a side-effecting operation.

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%, so the input schema already documents all parameters. The description adds minimal semantic value beyond restating that products are ordered; it does not explain edge cases like price overrides or delivery address defaults beyond what the schema already says.

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 uses a specific verb ('Place') and resource ('a new purchase order with Dicker Data') and specifies the object ('one or more products'). This clearly distinguishes it from the read-oriented sibling tools like get_pricing, list_orders, and get_order_details.

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 implies the tool should be used when creating an order, but it does not explicitly state when to use it versus alternatives or mention any prerequisites such as checking pricing or stock first. There is no explicit exclusion guidance.

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