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dmccaffery

claude-desktop-mcp

by dmccaffery

orders_create_order

Create a new customer order by providing a customer ID and a list of line items, each containing a product ID and quantity.

Instructions

Create a new customer order from a list of product line items.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesLine items, each a product id and quantity.
customer_idYesCustomer placing the order.
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action but does not disclose side effects, validation behavior, idempotency, or what is returned. For a mutation tool, this is a significant gap.

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?

The description is a single concise sentence that front-loads the action. It wastes no words, but it is perhaps too concise, omitting necessary context that would improve usability. Still, for conciseness alone, it is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a create-order operation with no output schema and no annotations, the description should provide more context: what the return value is, possible validations, and preconditions. As written, it is too sparse to fully guide an agent.

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 input schema already covers 100% of the parameters with descriptions. The description adds a slight nuance with 'product line items' but does not go beyond what the schema already states, so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('create') and resource ('customer order') with the input method ('from a list of product line items'). It clearly distinguishes this from sibling tools like update, cancel, get, and list orders.

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 explicit guidance is given on when to use this tool or when not to. It does not mention prerequisites (e.g., customer must exist, items must be valid) or alternatives. The context is only implied by the tool name and the word 'create'.

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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