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Best-rated lounges

top_lounges
Read-onlyIdempotent

The lounge leaderboard the site's Top 100 page is built from, ranked by overall score or by one metric (get_lounge_metrics lists the metric slugs).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "top_lounges"
  }
}

Input Schema

NameRequiredDescriptionDefault
byNo"overall" (default) or a metric slug, e.g. "food", "wifi", "showers"
limitNoHow many to return (default 20)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds the useful behavioral fact that results are ordered by score or a single metric and mirror a known public page, but it says nothing about tie-breaking, pagination, or what happens when limit exceeds the available lounges.

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?

One sentence with no filler, and the identity of the tool is front-loaded. The phrasing 'the leaderboard the site's Top 100 page is built from' is slightly convoluted for the information it carries, but nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter, no-output-schema tool, the description covers what the list is and how it is ranked but never indicates what a result entry contains (lounge name, score, airport?). With no output schema, that return-shape gap is left entirely to the agent's guesswork.

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 the baseline would be 3, but the description adds a real cross-reference by pointing to get_lounge_metrics as the source of valid metric slugs. That is meaningfully beyond the schema, which only offers the examples 'food', 'wifi', 'showers'.

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 resource (lounge leaderboard) and the ranking basis, and ties it to the site's Top 100 page, which makes the output concept concrete. The 'lounge' resource name distinguishes it from siblings like top_airlines and top_cruise_ships, but no sibling is named explicitly.

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?

Usage is implied rather than stated: an agent can infer this is the ranked-list tool versus search_lounges or get_lounge, but there is no explicit when-to-use or when-not guidance. The one routing pointer given (get_lounge_metrics for metric slugs) is about parameter values, not about choosing this tool.

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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