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Laudus MCP by usefulapi

List sales orders

laudus_list_sales_orders
Read-only

List sales orders (pedidos de venta) with filters, sorting, field selection and paging (rows 25 by default, at most 200). Field names follow the Laudus data model, for example salesOrderId, issuedDate, dueDate, customer.name, items.product.sku, items.quantity. When a page is full, ask for the next one with offset = offset + limit. POST /sales/orders/list.

Input Schema

NameRequiredDescriptionDefault
limitNoRows to return, 1-200 (default 25).
fieldsNoFields to return (default: all). Nested names work, e.g. customer.name, items.quantity.
filterNoConditions, all of which must hold (AND).
offsetNoRows to skip (default 0). For the next page pass offset + limit.
order_byNoSort order.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish this as a safe, read-only, open-world read. The description adds genuine beyond-schema context: default page size of 25, hard cap of 200, and the concrete offset-advance formula for pagination, which is exactly the behavioral detail an agent needs to loop pages correctly.

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?

Three dense sentences, zero filler: capability and paging limits first, then the field-name model with examples, then the pagination recipe, then the endpoint. Everything is front-loaded and actionable.

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

Completeness4/5

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

With no output schema, the description would ideally hint at the response envelope (rows array, total count, has-more indicator), but field selection plus the offset/limit recipe covers what an agent needs to call it correctly. Slight gap on what a 'full page' response actually looks like.

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

Parameters4/5

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

Schema description coverage is 100%, so the baseline is 3, but the description adds real domain value by naming actual Laudus data-model field paths (salesOrderId, issuedDate, dueDate, items.product.sku) that an agent could not derive from the schema alone, offsetting the high coverage.

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?

States a specific verb and resource ('List sales orders') and even gives the Spanish domain term 'pedidos de venta' plus the endpoint path. It does not, however, distinguish itself from close siblings such as laudus_pending_sales_orders or laudus_get_sales_order, so an agent must infer the boundary.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the listing/paging language, but there is no explicit when-to-use or when-not-to-use guidance, and no routing to alternatives like pending_sales_orders (a filtered view) or get_sales_order (single record).

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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