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Loyverse MCP by usefulapi

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. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The readOnlyHint annotation already establishes this as a safe, non-destructive read, so the description isn't burdened with the safety profile. It adds useful context by naming the endpoint (GET /employees) and disclosing that store access and owner status are returned, but says nothing about pagination behavior despite cursor/limit parameters.

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 no filler: the return-content detail is front-loaded and the endpoint hint trails efficiently. Every clause earns its place.

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 no output schema, the description covers the returned fields plus the endpoint, and the schema fully documents all 8 optional filters. It is nearly complete, with only pagination mechanics left to the parameter descriptions.

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%, with every parameter (including limit bounds and date-range formats) fully documented in the schema. The description contributes no additional parameter meaning, so the baseline 3 applies.

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 employees') and even previews the returned fields (accessible stores, owner flag), so the agent knows exactly what comes back. The employees resource is distinct from every sibling (customers, items, receipts, stores, etc.), though the description never explicitly differentiates itself from an alternative employee-fetching path.

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 when-to-use instruction, no mention of when filters like employee_ids or the date bounds matter, and no named alternative. Usage is only implied by the literal name; the description adds no routing or context guidance.

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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