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popeyes_menu

Read-only

Fetch a Popeyes restaurant's category-grouped menu with store prices and published nutrition or allergen data. Use popeyes_locations to find restaurants, popeyes_offers for current deals, or popeyes_promotions for promotion details.

Input Schema

NameRequiredDescriptionDefault
marketNoOptional. Restaurant market: US (default) or CA.
store_idYesRequired. Popeyes' numeric store id, from /popeyes/locations.

Output 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

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered. The description adds genuine behavioral value by disclosing the response shape (category-grouped) and content (store-specific prices plus published nutrition or allergen data), which the annotations do not convey. It omits auth, rate-limit, or pagination notes, but those gaps are minor against the annotation coverage and an existing output schema.

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?

Two sentences with no waste: the capability and its payload are front-loaded, and the routing guidance follows immediately. Nothing is repeated from the schema or annotations.

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 an output schema, annotations, and full schema coverage, the description only needs to establish purpose, scope, and routing, which it does. It is complete enough for correct invocation; the only unmet (and low-value) additions would be auth or rate-limit notes.

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 both parameters (store_id, market) are already documented in the schema, and an output schema exists. The description implies store-scoping ('a Popeyes restaurant's') but adds no syntax, format, or market nuance beyond the schema, so the baseline 3 is correct.

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 ('Fetch') and resource ('Popeyes restaurant's category-grouped menu') and specifies the payload (store prices, nutrition/allergen data). An agent can distinguish it from location, offers, and promotion siblings without opening any schema.

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?

Explicitly routes the agent to three named alternatives with their purposes (popeyes_locations for restaurants, popeyes_offers for deals, popeyes_promotions for promotions), which effectively delimits this tool's scope. It stops short of an explicit 'use this when you want the menu' statement or any prerequisites, so it is clear context rather than full when/when-not guidance.

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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