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Lightspeed Retail (R-Series) MCP by usefulapi

List employees

lightspeedrseries_list_employees
Read-only

Employees: employeeID, firstName, lastName, lockOut, archived, employeeRoleID, limitToShopID. Use employeeID to filter sales. GET /Account/{accountID}/Employee.json.

Input Schema

NameRequiredDescriptionDefault
sortNoSort field; prefix "-" for descending. Allowed: employeeID, timeStamp.
limitNoRecords per page (1-100, default 100).
archivedNofalse (default) = active records only, true = active and archived, only = archived only.
next_urlNoTo get the next page: the next_url value from a previous call of this same tool, unchanged. Other filters are ignored when it is set.
include_contactNoInclude the Contact relation.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

The readOnlyHint annotation already establishes that this is a safe read operation, and the description adds the GET endpoint and returned employee fields. It does not disclose pagination behavior, default archived filtering, or the Contact relation semantics; there is no annotation contradiction.

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 two terse sentences with little waste, front-loading the returned fields and ending with the endpoint. The fragmentary "Employees:" opening is slightly rough, but the definition remains efficient.

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?

For a simple read-only list tool with a fully documented input schema and readOnlyHint, the description supplies the returned fields and endpoint, compensating for the absence of an output schema. Usage guidance is weak, but the calling requirements are mostly covered by the structured fields and annotations.

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?

All five input parameters have complete schema descriptions, so the schema already supports correct invocation and the baseline is 3. The description mentions how the returned employeeID can be used to filter sales, but it does not add meaningful semantics for the input parameters beyond the schema.

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 title/name and description identify employee records and the Employee endpoint, with a field list, so the resource is clear. It does not explicitly say "list" in the description or differentiate from other list_* siblings beyond the Employee resource, which keeps it from a 5.

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?

The only usage-related sentence is "Use employeeID to filter sales," which is a cross-tool hint rather than guidance on when to call this tool. There is no explanation of when to use list_employees versus alternatives or when particular filters should be applied.

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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