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mcdonalds_restaurant_menu

Fetch a US McDonald's store's complete menu with real prices for eat-in, pickup, and delivery, plus channel-exclusive items and curated add-on price deltas.

Instructions

Get one McDonald's restaurant's priced menu. Returns one restaurant's full menu with real prices: item name, image and independently-priced eat-in, pickup and delivery listings, since a McDonald's restaurant genuinely sells a different catalog (and different prices) per channel -- delivery is typically marked up over eat-in/pickup, and some items are channel-exclusive. Where McDonald's publishes a curated substitute or add-on list for an item (a meal's drink upgrade, a dip-able item's sauce choices), each real alternative is included with its own eat-in/pickup price delta -- plain entree or side substitution is not covered, since McDonald's does not publish a curated candidate list for it. This is the only endpoint in this family that publishes prices; every other McDonald's endpoint's source never does. US restaurants only. The store id comes from GET /mcdonalds/restaurants' store_id field.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
store_idYesMcDonald's numeric store number, from /mcdonalds/restaurants

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.16.2

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries full burden. It discloses per-channel pricing differences, channel-exclusive items, inclusion of curated substitutes/add-ons with price deltas, and explicitly excludes plain entree/side substitution because McDonald's doesn't publish a curated list. This is unusually thorough behavioral disclosure.

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?

The description is lengthy but every sentence contributes: it front-loads the core purpose, then explains channel behavior, coverage, and prerequisites. It's efficient given the complexity, though it could be trimmed slightly without losing value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no output schema and one parameter, the description is remarkably complete: it specifies what is returned, what is not covered, the source of the store_id, and the US-only constraint. Nothing an agent needs to call it correctly is missing.

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?

The schema already documents store_id with its source (from /mcdonalds/restaurants) and type. The description reiterates this but adds no new parameter-specific meaning beyond what the schema states. With 100% schema coverage, baseline 3 is appropriate.

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 clearly states the tool retrieves a single McDonald's restaurant's priced menu, listing exact contents (item name, image, eat-in/pickup/delivery prices) and explicitly distinguishes it as the only endpoint in the family that publishes prices. This differentiates it from siblings like mcdonalds_menu and mcdonalds_item.

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 states this is the only McDonald's endpoint that publishes prices, giving a direct when-to-use signal, and notes the US-only scope and the prerequisite store_id from /mcdonalds/restaurants. This is clear, actionable guidance for an agent.

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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