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WYRE-AI

Dicker Data MCP Server

by WYRE-AI

dickerdata_get_order_serials

Retrieve the shipped serial numbers for any Dicker Data order by submitting the order number. Use this to verify exactly which serial numbers were dispatched.

Instructions

Get the shipped serial numbers for a Dicker Data order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orderNumberYes
orderSuffixNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. 'Get' signals a read-only operation and 'shipped serial numbers' narrows the data scope, which is useful. However, it says nothing about failure behavior, authentication requirements, or what happens when an order has no shipped serials.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler; every word contributes to stating what the tool returns. This is appropriately concise for a simple getter.

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

Completeness3/5

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

For a simple read-only lookup, the basic selection and invocation context is present: the resource is clear, and the schema supplies the required orderNumber. However, the missing meaning of orderSuffix and lack of sibling differentiation are clear gaps that keep it from being fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for both parameters. It only provides the loose hint that the operation concerns an order, giving some meaning to orderNumber but leaving orderSuffix entirely unexplained in both the schema and the description.

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

Purpose4/5

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

The description uses a specific verb ('Get') and a precise resource ('shipped serial numbers for a Dicker Data order'), so an agent can tell this tool returns serials rather than general order data. It does not explicitly contrast with siblings like dickerdata_get_order_details, so it misses the top score.

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?

There is no guidance on when to use this tool versus dickerdata_get_order_details or dickerdata_list_orders, and no prerequisites are stated. The word 'shipped' weakly implies the order must have shipped, but that is not made explicit enough to count as meaningful guidance.

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