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Foxy.io MCP by usefulapi

List customers

foxy_list_customers
Read-only

List a store's customers. Returns a HAL collection embedding fx:customers. Foxy hAPI: GET /stores/{store_id}/customers.

Input Schema

NameRequiredDescriptionDefault
emailNoFilter by exact customer email.
limitNoMax results per page (Foxy default 20).
offsetNoPagination offset.
store_idNoStore id. If omitted, the default store (fx:store) is used.

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

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so safety is covered. The description does add useful behavioral context — the return is a HAL collection embedding fx:customers — but says nothing about pagination behavior, ordering, or empty-result semantics beyond what the schema implies.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with the purpose. The endpoint reference is slightly redundant with the tool name but is short and does not bloat the description.

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 plus a 100%-covered schema is nearly sufficient: return shape (HAL collection) is disclosed and all params are documented. Only the when-to-use context 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 all four parameters are fully documented in the schema (including default-store behavior for store_id). The description adds no parameter-level detail, 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 a store's customers'), which clearly separates it from the singular sibling foxy_get_customer. It also names the underlying endpoint, but does not explicitly contrast itself with the other list_* siblings.

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?

No guidance on when to use this versus foxy_get_customer or the other list tools, and no mention that the email/limit/offset filters exist for narrowing results. The agent must infer usage entirely from the name.

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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