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Lemon Squeezy MCP by usefulapi

List prices

lemonsqueezy_list_prices
Read-only

List price models, optionally filtered to one variant. API: GET /prices (filter[variant_id]).

Input Schema

NameRequiredDescriptionDefault
includeNoComma-separated related resources to sideload (JSON:API include=), e.g. 'store,variant'.
page_sizeNoResults per page (JSON:API page[size], max 100). Default 10.
variant_idNoFilter to a single variant 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 already declare readOnlyHint=true, so the safe-read profile is covered. The description adds the underlying API endpoint (GET /prices) and filter syntax, which is useful context, but discloses nothing about result volume, pagination behavior, or sideload semantics beyond what the schema already states.

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 short sentences with zero filler; the core purpose is front-loaded and the filter scope plus endpoint follow immediately. Nothing redundant.

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, non-destructive list tool with fully documented schema and no output schema, the description is essentially complete. Minor gaps (no mention of pagination defaults or sideload behavior overview) are already handled by the schema, so they don't materially hinder calling it.

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 already documented in the schema. The description only echoes the variant filter via 'filter[variant_id]' and adds no meaning beyond the schema's own parameter descriptions. Baseline 3 is appropriate.

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 price models') and clarifies the optional filter scope to a single variant. It is clearly distinguishable from list_variants/list_products, though it doesn't explicitly name sibling tools. The purpose is unambiguous.

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 phrase 'optionally filtered to one variant' implies when the variant_id filter applies, but there is no explicit when-to-use guidance, no exclusions, and no reference to alternative list tools an agent might otherwise reach for. Usage is implied rather than directed.

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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