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Foxy.io MCP by usefulapi

List transactions

foxy_list_transactions
Read-only

List a store's transactions (orders), newest first. Returns a HAL collection embedding fx:transactions. Foxy hAPI: GET /stores/{store_id}/transactions.

Input Schema

NameRequiredDescriptionDefault
zoomNoComma-separated related resources to embed, e.g. 'items,customer,payments'.
limitNoMax results per page (Foxy default 20).
orderNoSort expression, e.g. 'transaction_date desc'.
offsetNoPagination offset.
is_testNoFilter to test (true) or live (false) transactions.
store_idNoStore id. If omitted, the default store (fx:store) is used.
customer_emailNoFilter by the transaction's customer email.

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

A4/5.0
Behavior4/5

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

The readOnlyHint annotation already covers the safety profile, so the bar is lower, and the description adds real context beyond it: default sort order, and the fact that the response is a HAL collection embedding fx:transactions. It stops short of describing pagination semantics or rate limits.

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 operation and ordering, then the return shape, then the underlying endpoint. No filler.

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?

With no output schema, the description usefully discloses the HAL collection return shape, and the schema carries all filter/pagination detail. Minor gap: no mention of default page size or pagination practice, though limit/offset are documented in the schema.

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 seven parameters (zoom, limit, order, offset, is_test, store_id, customer_email) are already documented in the schema with examples and defaults. The description adds no parameter-level meaning, which is the expected baseline here.

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 and resource ("List a store's transactions (orders)"), plus the default ordering ("newest first") and the underlying hAPI endpoint. An agent can distinguish this bulk-listing tool from foxy_get_transaction or foxy_list_carts without opening any 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?

Usage is implied by the verb and resource, but there is no explicit when-to-use/when-not guidance and no mention of the sibling alternatives (e.g. foxy_get_transaction for a single record). Nothing is misleading, but the agent must infer the routing decision.

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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