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Find lounges by access

find_lounges_by_access
Read-onlyIdempotent

Find all airport lounges accessible with a specific credit card, membership program, airline club, alliance status, or ticket class. For example, find all lounges you can access with your Amex Platinum or Priority Pass membership.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
access_methodYesAccess method slug (e.g. amex-platinum, priority-pass, chase-sapphire-reserve, business-class, star-alliance-gold)

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds no extra behavioral context beyond the basic lookup nature—no mention of result ordering, data coverage, or any side effects. It does not contradict the annotations.

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 concise sentences. The first sentence front-loads the core behavior, and the second gives a practical example. There is no filler or redundancy.

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 single-parameter, read-only lookup tool with full enum coverage and safety annotations, the description is fairly complete. It explains what the tool finds and gives recognizable examples. It could be slightly richer by addressing result scope or clarifying the relationship to sibling search tools, but nothing essential for calling the tool correctly is missing.

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 access_method parameter is fully described in the schema with an enum and example slugs. The description adds general context about what counts as an access method but does not add meaning beyond the schema. Baseline 3 applies because the schema carries the semantic weight.

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 clear verb and resource: 'Find all airport lounges accessible with a specific...' It specifies the filtering dimension (credit card, membership, airline club, alliance, ticket class) and gives concrete examples. However, it does not explicitly name or distinguish itself from sibling tools like search_lounges or get_network_lounges, so it misses the highest bar.

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 description implies the intended use case through examples ('find all lounges you can access with your Amex Platinum or Priority Pass'), but it never says when to prefer this tool over alternatives such as search_lounges or get_network_lounges. There are no exclusions or routing conditions, only implied usage.

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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TDQS

A3.9/5.0
Disambiguation4/5

Each tool targets a distinct resource or action, and the wishlist/visit/review lifecycles are clearly separated. However, get_my_passport, get_my_profile, and get_my_visits overlap somewhat in stats and visit history, which could cause minor confusion.

Naming Consistency4/5

All tool names use snake_case and a verb-first structure, which is fairly consistent. The main deviation is mixing get_, list_, search_, find_, and discover_ for read operations, plus discover_more_flight_tools sits outside the domain naming pattern.

Tool Count4/5

21 tools is slightly above the ideal 3-15 range but still well-scoped for a server covering lounge discovery, wishlists, visits, reviews, and user profiles. Each tool has a clear place and there is no obvious bloat.

Completeness4/5

The tool set provides full CRUD coverage for wishlists, visits, and reviews, plus rich lounge discovery by airport, network, access method, and search. A minor gap is that lounge details only show review counts, not the actual reviews from other users.