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popeyes_rewards

Retrieve Popeyes Rewards points-redemption catalog, showing menu items and combos redeemable for fixed loyalty points. Public CMS content, separate from offers, quests, and promotions.

Instructions

List Popeyes Rewards' points-redemption catalog. Returns a page of Popeyes Rewards' points-redemption catalog -- menu items and combos a member can redeem directly for a fixed number of loyalty points (e.g. "600 points for Cheese Bites"), distinct from /popeyes/offers (priced deals), /popeyes/quests (challenges) and /popeyes/promotions (bonus-points campaigns). This is public CMS content, not a signed-in member's own points balance or redemption history. points is the loyalty points cost to redeem; other per-account/per-order redemption restrictions Popeyes may publish on a reward are not exposed by this endpoint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum rewards to return, 1-100 (default 20)
marketNoRestaurant market: US (default) or CA
offsetNoNumber of rewards to skip, for paging (default 0)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.16.2

TDQS

A4.4/5.0
Behavior4/5

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

Even without annotations, the description discloses key behavioral traits: it returns a paginated page, is public CMS content, exposes only the fixed points cost, and does not include per-account/per-order restrictions. It could be slightly more explicit about read-only guarantees or exact return shape, but the "List" framing plus these limitations carries most of the burden.

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 four sentences, all dense with useful information: scope, example, sibling differentiation, and data limitations. There is no filler, and the core purpose is front-loaded.

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 simple optional-parameter list endpoint, the description covers scope, pagination intent, public-vs-member data, and output semantics for the points field. The lack of an output schema means it doesn't enumerate the full return structure, but "Returns a page" plus the described fields is adequate for correct invocation.

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%, and the parameters (limit, market, offset) are fully documented in the schema. The description adds no parameter-level detail beyond what the schema already provides, so the baseline of 3 applies.

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 opens with a specific verb and resource: "List Popeyes Rewards' points-redemption catalog," then gives a concrete example ("600 points for Cheese Bites"). It explicitly distinguishes itself from sibling tools like /popeyes/offers, /popeyes/quests, and /popeyes/promotions, so an agent can tell exactly what this endpoint does.

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

Usage Guidelines5/5

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

It explicitly names sibling alternatives and what they cover (priced deals, challenges, bonus-points campaigns), and clarifies that this is "public CMS content" rather than a signed-in member's balance or redemption history. This gives the agent clear when-to-use and when-not-to-use signals.

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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