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matiasconcha11

Uber Eats MCP Server

uber_eats_add_to_cart

Add menu items to a cart by resolving the correct catalog section from the store and menu item UUIDs; handles fuzzy name matching and respects required customizations for accurate ordering.

Instructions

Add a line via addItemsToDraftOrderV2 + getMenuItemV1 (same stack for restaurants and grocery).

Best: pass store_uuid + menu_item_uuid (required). The server loads getStoreV1 and resolves the
real section_uuid / subsection_uuid from the menu—so wrong search data (e.g. section_uuid =
store_uuid) is fixed automatically when the SKU exists in the menu.

Optional: section_uuid, subsection_uuid, item_name from uber_eats_search items[] or restaurant_menu.

Fallback: restaurant_url + item_name (fuzzy match on full menu; more error-prone).

If the item has required customizations, call uber_eats_get_item_options first.

Args:
    item_name: Display / fuzzy name (optional if UUID path fills title from getMenuItemV1)
    quantity: How many to add (default 1)
    restaurant_url: Store URL or slug (legacy path)
    store_uuid: Merchant UUID (from search or menu payload)
    section_uuid: Catalog section UUID (never the same as store_uuid; optional if resolvable from menu)
    subsection_uuid: Submenu UUID (often empty; server retries with menu_item_uuid if needed)
    menu_item_uuid: SKU / catalog item UUID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
quantityNo
item_nameNo
store_uuidNo
section_uuidNo
menu_item_uuidNo
restaurant_urlNo
subsection_uuidNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses important behavior: the server auto-resolves section/subsection UUIDs, fixes wrong search data automatically, and uses fuzzy matching on the fallback path. It does not describe auth requirements or what happens on failure, but the behavioral disclosure is substantial for the mutation context.

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?

Well-structured with clear priority sections (Best/Optional/Fallback) and bullet-point args. Slightly long but every sentence adds value—the implementation details (addItemsToDraftOrderV2, getMenuItemV1, getStoreV1) and the 'never the same as store_uuid' warning are genuinely useful, not filler.

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?

Despite no annotations, the description covers the complex 7-parameter multi-path API thoroughly: priority resolution, auto-fix behavior, customization prerequisite, and parameter relationships. With an output schema present, lack of return-value explanation is acceptable. Could mention error cases or payment requirements, but the core execution flow is well covered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% with 7 parameters, so the description must fully compensate—and it does. Each parameter gets a meaningful explanation (e.g., 'section_uuid: Catalog section UUID (never the same as store_uuid; optional if resolvable from menu)'), adding relationships, defaults, and usage conditions beyond what the bare schema titles provide.

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 verb+resource ('Add a line via addItemsToDraftOrderV2 + getMenuItemV1') and covers both restaurant and grocery contexts. It differentiates from siblings like uber_eats_remove_from_cart and uber_eats_update_cart_quantity by focusing on adding a new line 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?

Provides explicit priority guidance: best path (store_uuid + menu_item_uuid), optional fields, and fallback (restaurant_url + item_name). Explicitly instructs when to call uber_eats_get_item_options first for required customizations. Includes the critical warning that section_uuid is never the same as store_uuid.

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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