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YawLabs

@yawlabs/lemonsqueezy-mcp

by YawLabs

ls_list_affiliates

Read-onlyIdempotent

List affiliates across stores with optional email filter. Results are paginated — use pageNumber and pageSize to navigate.

Instructions

List all affiliates for the authenticated user's stores, optionally filtered by user email. Results are paginated — check meta.page in the response for currentPage, lastPage, and total. Cross-store note: when LEMONSQUEEZY_ALLOWED_STORE_IDS is set, this tool can still return affiliates tied to non-allowed stores -- the endpoint has no parent ID filter to scope by. Pair with a scoped LemonSqueezy API key for true cross-store enforcement -- the API key's visibility is the true boundary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userEmailNoFilter by affiliate's user email
includeNoComma-separated related resources to include (e.g. 'store,user')
pageNumberNoPage number (1-indexed)
pageSizeNoResults per page (1-100)
Behavior5/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds significant value by noting pagination details (check meta.page) and warning about cross-store behavior, going beyond the 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?

The description is three sentences, front-loaded with the main action, then pagination, then cross-store note. Every sentence adds value; no fluff.

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

Completeness5/5

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

Given no output schema, the description explains pagination format and provides important context about cross-store behavior and security boundaries. It is fully sufficient for a list tool.

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%, so the schema already describes all parameters. The description mentions pagination implicitly but does not add detailed parameter semantics beyond what the schema provides. Baseline 3 is appropriate.

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?

The description clearly states 'List all affiliates for the authenticated user's stores, optionally filtered by user email.' This is a specific verb and resource, and it distinguishes this tool from single-affiliate retrieval (ls_get_affiliate) and other listing tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context: it lists affiliates with optional email filtering and explicitly discusses cross-store behavior and how to handle it (using scoped API keys). It does not explicitly state when not to use it or name an alternative tool, but the context is strong.

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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