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Smile.io MCP by usefulapi

List reward fulfillments

smile_list_reward_fulfillments
Read-only

List rewards that have been issued to customers — usually discount codes — with code, fulfillment_status (pending/issued/cancelled/failed), usage_status (used/unused/untracked), used_at and expires_at. Use customer_id to answer 'what codes does this customer have?'. Cursor-paginated. Smile: GET /reward_fulfillments.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum number of results, 1-250 (Smile default 50).
cursorNoCursor from the previous response's metadata.next_cursor (or previous_cursor). Omit for the first page.
customer_idNoOnly this customer's rewards.
usage_statusNo
updated_at_minNoOnly records updated at/after this ISO 8601 date-time, e.g. 2026-01-01T00:00:00Z.
fulfillment_statusNo

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

A4.2/5.0
Behavior4/5

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

The readOnlyHint annotation already establishes this as a safe read, and the description adds the pagination model ('Cursor-paginated') plus the concrete field set and status vocabularies returned. No rate limits, ordering, or default-page-size behavior beyond what the schema states, so it is good but not exhaustive.

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 front-loaded elements: what is listed, how to use it for a customer lookup, then pagination and endpoint. No filler, no restatement of the title, and the most decision-relevant content comes first.

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 no output schema, the description usefully compensates by naming the returned fields (code, fulfillment_status, usage_status, used_at, expires_at). Six optional params are handled adequately overall, though the unmentioned limit and updated_at_min filters rely wholly on the schema.

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 a middling 67% and the description mostly restates enum values the schema already defines (pending/issued/cancelled/failed, used/unused/untracked). It does add intent for customer_id, but says nothing about limit or updated_at_min, so it does not meaningfully compensate for the coverage gap.

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?

States a specific verb and resource ('list rewards that have been issued to customers — usually discount codes') and immediately characterizes the domain, which separates it from siblings like smile_list_points_transactions or smile_list_points_products. It even enumerates the salient response fields and status values, so an agent knows exactly what comes back.

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?

Provides explicit situational guidance with 'Use customer_id to answer "what codes does this customer have?"', which maps a user intent directly onto a parameter. It lacks any when-not guidance or named alternative (e.g., points transactions vs. reward fulfillments), so it stops short of a 5.

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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