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List customers

lemonsqueezy_list_customers
Read-only

List customers, optionally filtered by store and/or email. API: GET /customers (filter[store_id], filter[email]).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoFilter to a customer email.
includeNoComma-separated related resources to sideload (JSON:API include=), e.g. 'store,variant'.
store_idNoFilter to a single store id.
page_sizeNoResults per page (JSON:API page[size], max 100). Default 10.
page_numberNoPage number (JSON:API page[number]). Default 1.

TDQS

B3.3/5.0
Behavior3/5

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

ReadOnlyHint annotation already indicates safety; description confirms GET endpoint. No extra behavioral traits disclosed (e.g., pagination behavior, rate limits, data freshness). Adequate given annotations.

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 no wasted words. Front-loaded with purpose, then API detail. Highly concise and efficient.

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

Completeness3/5

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

No output schema; description does not mention return structure (e.g., paginated list of customers). Ranks adequate as schema covers parameters and annotations ensure safety, but missing output context lowers completeness.

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 coverage is 100%, baseline is 3. Description adds value by highlighting store and email filters with JSON:API syntax, but omits include and pagination parameters. Marginal improvement over schema.

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?

Description clearly states it lists customers with optional filters, referencing the API endpoint. Distinguishes from siblings like 'get_customer' through the verb 'list', though not explicitly contrasting.

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 tool versus alternatives like 'get_customer' for single customers, or other list tools. Agent must infer from context.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct resource and action (get vs list for each entity, plus specific write operations). Filtering parameters further distinguish list tools. No overlapping purposes.

Naming Consistency5/5

All tools follow a consistent `lemonsqueezy_action_resource` pattern using lowercase and underscores. Actions are consistently get, list, create, cancel, or update.

Tool Count5/5

18 tools cover a broad set of resources (customers, orders, stores, subscriptions, discounts, license keys, prices, products, invoices, variants, checkouts) for a comprehensive e-commerce platform. Each tool earns its place.

Completeness3/5

While reading (list/get) is well-covered for most resources, creation and deletion are missing for many core entities (customers, products, orders, etc.), which may force agents to rely on external processes. Only subscriptions and checkouts have write support.