Skip to main content
Glama

list_menu

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.

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are present, so the description must carry the behavioral burden. It does so by disclosing that the output is HTML, that it must be opened as an artifact, and that it is not required for ordering. The read-only nature is implied rather than explicitly stated, and side effects are not mentioned, but 'Show' makes the action sufficiently clear.

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?

The description is compact and front-loaded, with every sentence earning its place: action and output format, presentation instruction, and a sibling distinction. There is no redundant phrasing or filler.

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?

Despite lacking an output schema, the description explains that the result is HTML and how to present it. The optional parameters are fully documented in the schema, no nested objects or enums exist, and the key alternative (prepare_order) is explicitly differentiated. Nothing essential is missing for correct invocation.

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 the schema already documents both clientId and vendorId with meaningful context ('from a list_vendors result'). The description itself adds no further parameter-specific meaning, which matches the baseline of 3 when the schema carries the parameter burden.

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 uses a specific verb and resource ('Show the restaurant's menu') and gives concrete output details: an HTML document with a horizontally-scrollable category strip, item photos, names, and prices. It also implicitly distinguishes itself from prepare_order by stating that ordering does not require this tool.

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?

The description clearly states when to use the tool: when the menu should be shown to the user as a visual HTML artifact. It also gives an explicit exclusion for ordering and names the alternative (prepare_order), which resolves item names on its own. The presentation instruction (open as artifact, do not paste) is additional concrete usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct action and resource: order status vs. order staging vs. order placement, vendor discovery vs. menu retrieval, and login initiation vs. code submission. There is no overlap or ambiguity; even sequential tools like prepare_order and place_order are clearly separated by their purpose.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with lowercase and underscores (e.g., check_order, list_vendors, prepare_order). Even the login and logout tools fit the pattern as single verbs, and there is no mixing of conventions.

Tool Count5/5

With 10 tools, the surface is well-scoped for a restaurant ordering domain. It covers discovery, menu browsing, account management, login flow, order staging, placement, and status checking without feeling bloated or too thin.

Completeness4/5

The core ordering lifecycle is covered end-to-end (vendor -> menu -> login -> prepare -> place -> check). The only noticeable gaps are the absence of an explicit address-saving tool (though referenced in the login description) and no order cancellation or update capability, though these may be out of scope for typical ordering workflows.

Resources