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List customers

autumn_list_customers
Read-only

List/filter customers with cursor pagination. Autumn API: POST /v1/customers.list. Returns { list, next_cursor }.

Input Schema

NameRequiredDescriptionDefault
limitNoPage size, 1-5000. Default 50.
plansNoFilter by plan: array of { id, versions? } objects.
searchNoSearch customers by id, name, or email.
processorsNoFilter by processor type: stripe, revenuecat, vercel.
start_cursorNoPagination cursor from a prior response's `next_cursor` (omit / empty for first page).
subscription_statusNoFilter by status: "active" or "scheduled". Defaults to both.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover the read-only safety profile, and the description adds real value beyond them: it discloses the transport endpoint and, crucially, the return shape { list, next_cursor } despite there being no output schema. What's missing is pagination termination behavior and whether limit caps server-side results beyond the schema's 5000 ceiling.

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?

Three short sentences: purpose, endpoint, return shape. Every element earns its place and the purpose is front-loaded. No filler or redundancy.

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?

With six optional filter parameters, the description adequately frames the tool: filters are enumerable from the schema, the return envelope is disclosed, and cursor semantics are mentioned. Without an output schema it carries the return-shape burden well, though it could say more about total counts or empty-list behavior.

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 limit, search, plans, processors, start_cursor, and subscription_status are all documented in the schema itself. The description only adds the generic framing 'cursor pagination' and doesn't clarify ambiguous cases like the plans object shape or the default-both subscription_status behavior. 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?

The description gives a specific verb and resource ('List/filter customers') plus the backing endpoint (POST /v1/customers.list), which makes the operation unambiguous and distinguishes it from get_customer. It stops short of naming siblings explicitly, so it lands just below the top of the scale.

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 'filter' signals the tool's role, and the pagination note implies repeated-call usage, but nothing states when to prefer this over autumn_get_customer (single lookup) or autumn_list_entities. Usage must be inferred from the tool name and sibling set.

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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