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smile-io

List customers

smile_list_customers
Read-only

List loyalty-program customers, newest first, with their points balance, state and VIP tier id. Look a customer up by exact email, or filter by state or last-updated time. Cursor-paginated (metadata.next_cursor). Smile: GET /customers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoExact email address to look up.
limitNoMaximum number of results, 1-250 (Smile default 50).
stateNocandidate = not yet joined, member = in the program, disabled = excluded.
cursorNoCursor from the previous response's metadata.next_cursor (or previous_cursor). Omit for the first page.
updated_at_minNoOnly records updated at/after this ISO 8601 date-time, e.g. 2026-01-01T00:00:00Z.
include_vip_statusNoInclude each customer's vip_status object (include=vip_status).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true, so safety is covered. The description still adds meaningful behavior beyond that: result ordering ('newest first'), cursor-based pagination with the specific metadata.next_cursor field, and the fact that email is an exact-match lookup. It omits rate limits and the default page size, but the added context is solid.

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 tight sentences, front-loaded with what is returned and how it is ordered, then how to filter, then pagination. Every clause carries information; nothing is redundant with the title.

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 6-param list tool with no output schema, the description covers the essentials: returned fields, ordering, filter modes and pagination continuation. It leaves include_vip_status and the 1-250 limit default to the schema, which is acceptable, so it is nearly but not fully self-contained.

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 schema already documents email, limit, state, cursor, updated_at_min and include_vip_status. The description reinforces filtering semantics (exact email, state, last-updated) but adds no syntax or format detail beyond the schema, so the 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?

States a specific verb and resource ('List loyalty-program customers'), plus scope details like ordering ('newest first') and returned fields (points balance, state, VIP tier id). It is clearly distinct from the write/list siblings, but does not mention smile_get_customer, which is the natural alternative for a single-record fetch.

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?

Gives concrete selection conditions: look up by exact email, or filter by state or last-updated time. That is clear usage context, but it never states when NOT to use this tool or routes the agent to smile_get_customer for single-customer reads, nor flags that email lookup is exact-match only (no fuzzy search).

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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