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Lemon Squeezy MCP by usefulapi

List license keys

lemonsqueezy_list_license_keys
Read-only

List license keys, optionally filtered by store, order, or product. API: GET /license-keys (filter[store_id], filter[order_id], filter[product_id]).

Input Schema

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

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

A3.6/5.0
Behavior3/5

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

Annotations declare readOnlyHint=true, so the safe-read profile is already covered. The description adds the underlying endpoint (GET /license-keys) and filter query-param naming, but says nothing about pagination semantics or result shape beyond what the schema provides.

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, front-loaded with the core action and scope, with zero filler. The endpoint detail is compactly appended rather than padding.

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 a fully documented six-param schema and no output schema requirement, the description covers the essentials. It notably omits pagination behavior, since page_size/page_number exist, which is a minor gap.

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 the baseline is 3. The description maps the filter params to their API form (filter[store_id], filter[order_id], filter[product_id]), which is minor added value but does not document include, page_size, or page_number.

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+resource ('List license keys') and names the three optional filter dimensions (store, order, product). This clearly distinguishes it from the other list_* siblings that target different resources, though it does not explicitly address them.

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 word 'optionally filtered by store, order, or product' implies how to narrow results, but there is no explicit when-to-use guidance, no prerequisites, and no mention of alternative tools for related lookups.

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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