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grubhub_restaurant_menu

Read-only

Fetch one Grubhub restaurant's categorized menu items, with base, delivery, and pickup prices plus each item's min/max price, options, availability, tags, and image. Amounts include cents and decimal forms. Use grubhub_search to find restaurants, grubhub_restaurant for details, or grubhub_restaurant_reviews for review items.

Input Schema

NameRequiredDescriptionDefault
restaurant_idYesRequired. Grubhub's numeric restaurant id, from /grubhub/search.
include_unavailableNoOptional. Include items the restaurant currently has unavailable. Default false.

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
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 that amounts include cents and decimal forms and that categorization is returned, which is useful return-shape context, but with an output schema present the burden is lower. Adequate, not rich.

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 tight sentences: the first front-loads the what and the returned fields, the second handles sibling routing. Zero 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?

Output schema exists so return values needn't be re-explained, and annotations cover safety. The description adequately covers purpose, routing, and price-format nuance. Only a minor gap around pagination/large-menu behavior, which is not critical here.

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

Parameters4/5

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

Schema coverage is 100%, so both parameters are already documented. The description adds return-value semantics (the price forms, min/max) beyond the schema's parameter docs, giving it a slight edge over the baseline 3.

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 precise verb+resource ('Fetch one Grubhub restaurant's categorized menu items') and enumerates the returned data (base/delivery/pickup prices, min/max, options, availability, tags, images). Clearly distinguishable from siblings like grubhub_restaurant (details) and grubhub_search (find restaurants).

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?

Names the three relevant sibling tools and their roles, effectively routing the agent: use grubhub_search to find restaurants, grubhub_restaurant for details, grubhub_restaurant_reviews for reviews. Doesn't state an explicit 'when not to use' but the routing is clear.

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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