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Crawlora MCP

popeyes_promotions

Read-only

Popeyes Rewards' bonus-points promotion catalog: flat or multiplied points bonuses tied to a qualifying purchase.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional. Maximum promotions to return, 1-100, default 20.
marketNoOptional. Restaurant market: US (default) or CA.
offsetNoOptional. Number of promotions to skip, for paging through the full catalog.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds meaningful content context (bonuses are tied to a qualifying purchase) but discloses nothing further about behavior such as pagination, freshness, or market-specific availability.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler; the key resource and qualifier come first. It is efficient, though it reads as a noun phrase rather than an action statement.

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 a 100%-covered schema, an output schema that carries return details, and annotations covering the safety profile, an agent has enough to invoke the tool correctly. The missing element is usage/alternative guidance rather than structured data.

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%: limit, market, and offset are each fully documented in the schema. The description adds no parameter-level syntax or defaults beyond what the schema already states, 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?

The description names a specific resource (Popeyes Rewards bonus-points promotion catalog) and specifies the promotion types (flat or multiplied points bonuses tied to a qualifying purchase), so an agent knows what it returns. It does not explicitly contrast with nearby siblings like popeyes_offers, popeyes_rewards, or popeyes_quests, leaving the boundary to inference.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no conditions that select this tool over popeyes_offers or popeyes_rewards, and no exclusions. An agent must infer usage purely from the resource name.

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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