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List employees

loyverse_list_employees
Read-only

List employees, with the stores each can access and whether they are the owner. Loyverse: GET /employees.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size, 1-250 (Loyverse default 50).
cursorNoThe `cursor` from the previous page's response. Omit for the first page.
employee_idsNoComma-separated list of employee ids to return.
show_deletedNoAlso return soft-deleted records (they carry deleted_at).
created_at_maxNoOnly records created at or before this time (ISO 8601 UTC, e.g. 2026-03-30T18:30:00.000Z).
created_at_minNoOnly records created at or after this time (ISO 8601 UTC, e.g. 2026-03-30T18:30:00.000Z).
updated_at_maxNoOnly records updated at or before this time (ISO 8601 UTC, e.g. 2026-03-30T18:30:00.000Z).
updated_at_minNoOnly records updated at or after this time (ISO 8601 UTC, e.g. 2026-03-30T18:30:00.000Z).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe read. The description usefully discloses what the records contain (accessible stores, owner flag), but says nothing about pagination, default page size behavior, or soft-deleted record handling beyond what the schema states. Adequate but not rich.

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?

Two tight sentences with zero filler; the payload description (stores, owner) is front-loaded and the API endpoint reference is a compact trailing note.

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 read-only list tool with full schema coverage and annotations, the description covers purpose and return content. It lacks pagination guidance (relevant given cursor/limit) and store-access semantics, but no output schema exists and the core need is met.

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?

Schema description coverage is 100%, so all eight parameters are fully documented in the schema itself (limit range, cursor, filters, show_deleted). The description adds no parameter-level meaning, which is the correct baseline when the schema does the heavy lifting.

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 ('List') and resource ('employees') and adds scope detail — each employee's accessible stores and owner status. This distinguishes it cleanly from sibling list tools (list_customers, list_stores, etc.).

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?

The purpose implies when to use it (retrieving employees), but there is no explicit when/when-not guidance, no mention of alternatives, and no note about pagination workflow despite the cursor parameter. Usage is inferable but not guided.

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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