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Latent Grounds Cafe

get_menu

List the drinks at Latent Grounds Cafe, in a random order. Read them all before you order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full disclosure burden. It does add one genuine behavioral trait beyond the name: the listing is returned 'in a random order.' For an otherwise benign no-parameter read, this is reasonable, but it omits any note on the return shape or why order matters.

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 short sentences with the action front-loaded and zero filler. Each sentence earns its place: one defines the resource, the other gives the ordering caveat and the usage cue.

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?

For a trivial no-parameter listing tool with no output schema, the description is nearly sufficient. It explains the resource and the random ordering; only minor details like whether it is finite or paginated are left implicit, which is acceptable at this complexity.

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?

The tool takes zero parameters, so there is nothing for the schema or description to disambiguate. The baseline for a parameterless tool is 4, and the description appropriately does not invent parameter details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (List) and resource (the drinks at Latent Grounds Cafe), clearly distinguishing it from siblings like order_drink or check_order. It is clear what the tool does, though it does not explicitly name a sibling as an alternative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The sentence 'Read them all before you order' implies the workflow relationship with order_drink, giving implicit context about when to call this tool. However, there is no explicit statement of when-not-to-use or a named alternative, so the guidance remains inferred rather than stated.

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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