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List stores

loyverse_list_stores
Read-only

List the merchant's stores (locations) with their addresses. Store ids are what the receipt, shift and inventory filters take. Loyverse: GET /stores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
store_idsNoComma-separated list of store 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 declares this is a safe read. The description adds the returned shape (addresses) and the downstream role of store ids, but says nothing about pagination behavior or how show_deleted changes results, which is meaningful for a Loyverse list endpoint.

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 short sentences, front-loaded with the core action, with no filler. Every clause (returned fields, downstream use, endpoint reference) carries information.

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 full schema coverage and annotations, the description covers what the tool returns and why it matters. Only the absence of pagination/cursor hints keeps it from being fully complete.

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 six filter parameters are already documented in the schema. The description adds no syntax or filtering detail beyond that, which is the expected 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.

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 the merchant's stores (locations)') and adds what is returned (addresses), which is more than a tautology. It is clearly distinguishable from sibling list_* tools by resource, though it names no sibling explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Store ids are what the receipt, shift and inventory filters take' tells the agent why it would call this tool and when the output matters downstream. There is no explicit when-not guidance or named alternative, but the usage context is clear.

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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