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Lightspeed Retail (R-Series) MCP by usefulapi

Create a customer

lightspeedrseries_create_customer

Create a new customer, optionally with a primary email and one phone number (stored in the customer's Contact). Give at least a first name, last name or company. Returns the new customer with its customerID. POST /Account/{accountID}/Customer.json.

Input Schema

NameRequiredDescriptionDefault
emailNoPrimary email address.
phoneNoPhone number.
titleNoJob title.
companyNoCompany name.
last_nameNoLast name.
first_nameNoFirst name.
phone_typeNoPhone type (default Mobile).
customer_type_idNocustomerTypeID to assign.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations only declare this is a non-read-only, non-idempotent, non-destructive write. The description adds real context beyond that: phone/email are stored in the customer's Contact record, a specific minimum-identity requirement applies, the response includes the new customerID, and the backing endpoint is POST /Account/{accountID}/Customer.json. It does not warn about duplicate creation despite idempotentHint=false, which keeps it from a 5.

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 tight sentences: what it does, the minimum input contract, then the return value and endpoint. Nothing redundant, no restating of the title, and the constraint is front-loaded where an agent will see it.

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 8 optional parameters, no output schema, and sparse annotations, the description covers the essentials: minimum identity requirement, return shape (customerID), and the transport endpoint. It stops short of describing behavior on widely variable fields or duplicate handling, but that is a minor residual gap for a simple create.

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 coverage is 100%, so the per-field meanings are already documented and the baseline would be 3. The description earns extra credit by stating the cross-field constraint (at least one of first name, last name, or company) and the Contact storage grouping for email/phone — semantics that exist in neither the schema nor the required-parameter list (required is empty).

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?

States a specific verb and resource ("Create a new customer") and immediately distinguishes itself from the get_/list_/update_ siblings by describing the write outcome. It also names the returned identifier (customerID), so an agent knows exactly what the call produces.

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 verb and by the precondition "Give at least a first name, last name or company," which tells the agent what input is required. However, it never says when to use this versus looking up an existing customer first (lightspeedrseries_get_customer / list_customers), which matters for an insert operation that is not idempotent.

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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