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Glama

List cash registers

list_cash_registers
Read-onlyIdempotent

Get cash registers available to a cashier, including fiscal number, branch, address, online/offline mode and any open shift. Use the returned ids to filter receipts and reports.

Instructions

Lists the cash registers (ПРРО) available to the cashier, each with its fiscal number, address, branch, online/offline mode and the currently open shift if there is one. Use the returned ids to filter receipts and reports.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size. Default 25; values above the cap (100 unless stated otherwise) are clamped.
in_useNoFilter by whether the cash register is currently in use.
offsetNoNumber of records to skip, for paging. Default 0.
fiscal_numberNoFiscal number of the cash register.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds real context beyond them: results are scoped to registers 'available to the cashier' (an authorization boundary) and each entry conditionally includes the currently open shift.

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 sentences with zero filler; the resource and returned fields come first and the downstream routing tip is second. Every clause earns its place.

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

Completeness5/5

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

With no output schema, the description carries the return-value burden and does so by naming the fields each register carries, including the conditional open shift. Paging behavior is covered by the schema, so nothing an agent needs is missing.

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 limit, offset, in_use and fiscal_number are already fully documented in the schema. The description mentions none of the filtering parameters, so it adds no meaning beyond the structured fields; baseline 3 applies.

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 (Lists) and resource (cash registers / ПРРО), and enumerates the returned fields (fiscal number, address, branch, online/offline mode, open shift). An agent can distinguish it from the singular get_cash_register sibling without opening either schema.

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 second sentence gives downstream usage ('use the returned ids to filter receipts and reports'), which implies context, but never states when to prefer this over get_cash_register, get_current_shift, or list_shifts. No exclusions or prerequisites are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.