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Show a menu

list_menu
Read-only

Show the restaurant's menu to the user as a visual HTML document — a horizontally-scrollable category strip with item photos, names and prices. Present the returned HTML by opening it as an HTML artifact; do NOT paste the markup into the chat as text. (Ordering does not require this — prepare_order resolves item names on its own.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clientIdNoclientId of the restaurant, from a list_vendors result. Omit only when the server is configured for a single restaurant.
vendorIdNovendorId of the restaurant, from a list_vendors result. Omit only when the server is configured for a single restaurant.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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 genuinely useful behavioral context beyond that: the return value is an HTML document that must be opened as an artifact rather than pasted as chat text. It says nothing about permissions or rate limits, but those are low-risk for a read-only listing.

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, zero filler, and the output-format instruction is front-loaded ahead of the parenthetical exclusion for ordering. Every clause earns its place.

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?

There is no output schema, so the description carries the burden of explaining the return value, and it does so concretely (HTML artifact, not chat text). Combined with the optional-parameter guidance already in the schema, an agent has everything needed to call it correctly.

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%, and the schema already explains that clientId/vendorId come from a list_vendors result and may be omitted in single-restaurant setups. The description adds no further parameter meaning, so the baseline 3 applies.

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 (show) and resource (the restaurant's menu) and further specifies the rendered form: a horizontally-scrollable category strip with photos, names and prices. It also distinguishes itself from prepare_order, so an agent can tell it apart from siblings without opening schemas.

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?

Gives an explicit when-not condition: ordering does not require this tool because prepare_order resolves item names on its own. It names the alternative sibling directly and the circumstance that selects it, leaving nothing to inference.

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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