Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Airport-Lounge-List/mcp-server --skill lounge-tool-best-practicegit clone --depth 1 https://github.com/Airport-Lounge-List/mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/airport-lounge-list/mcp-server/lounge-tool-best-practice)<a href="https://agentmods.dev/skills/airport-lounge-list/mcp-server/lounge-tool-best-practice"><img src="https://agentmods.dev/badge/skills/airport-lounge-list/mcp-server/lounge-tool-best-practice/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/airport-lounge-list/mcp-server/lounge-tool-best-practice"><img src="https://agentmods.dev/badge/skills/airport-lounge-list/mcp-server/lounge-tool-best-practice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00027 | $0.01381 |
| Opus 5.5 | $0.00011 | $0.00552 |
| Sonnet 5.5 | $0.00005 | $0.00276 |
| Haiku 4.5 | $0.00003 | $0.00138 |
Grade A, and why
lounge-tool-best-practice scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use the lounge tools without errors
Rules that stop the common failures: guessed slugs, missing arguments, repeated searches and rate limits.
- Skill ID:
lounge-tool-best-practice - Tags: travel, lounges, reliability
- Endpoint:
https://mcp.airportloungelist.com/mcp(MCP, Streamable HTTP)
Workflow
- When you know the airport, call
get_airport_loungeswith its IATA code. It is the most reliable tool. Usesearch_loungesonly for a lounge name, city or country, with one short term per call. - Pass every required argument:
iatafor get_airport_lounges,queryfor search_lounges,slugfor get_lounge_details,access_methodfor find_lounges_by_access. - Copy lounge slugs from a previous result. Never build a slug from a lounge name.
- Copy access-method slugs from
list_access_methods. Call it once per conversation and reuse the result. - If a search returns zero lounges, change the term once (IATA code instead of city, or the reverse), then stop and tell the user. Do not loop: search_lounges allows 60 calls an hour.
- On a rate-limit error, stop calling that tool and use the data you already have.
Tools
get_airport_lounges
Get all airport lounges at a specific airport by IATA code. Returns every lounge at the airport with terminal location, amenities, access methods, and ratings.
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"iata": {
"type": "string",
"pattern": "^[A-Za-z]{3}$",
"description": "Airport IATA code (e.g. LHR, JFK, SIN)"
}
},
"required": [
"iata"
],
"type": "object"
}
search_lounges
Search airport lounges worldwide by name, airport name, IATA code, city, or country. Returns matching lounges with amenities, access methods, and ratings. Use this to find specific lounges or discover lounges in a location.
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"query": {
"type": "string",
"minLength": 2,
"description": "Search query (lounge name, airport name, IATA code, city, or country)"
}
},
"required": [
"query"
],
"type": "object"
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 174 lines · 27 tokens per session scan A 28fd9c178edd
lounge-tool-best-practice is a skill published in the GitHub repository Airport-Lounge-List/mcp-server (0 stars, last pushed 2d ago), licensed MIT. It adds 27 tokens to every session and 1,381 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-15.
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