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Tripuck Meeting Point

find_meeting_point
Read-onlyIdempotent

Tripuck Meeting Point — finds the cheapest and fairest common destination for 2-5 people traveling from different cities. Example: "I'm in Istanbul, my friend is in Berlin, one is in Dubai — where should we meet?", "İstanbul, Berlin, Dubai nerede buluşalım?", "نحن في مدن مختلفة، أين نلتقي؟". Runs multi-city optimization and computes a fairness score across the group. Use when the user asks to coordinate a trip across multiple origins and needs a shared destination. The LLM MUST infer the user language from the conversation and pass it via the locale parameter ("tr" Turkish, "en" English, "ar" Arabic, "az" Azerbaijani, "de" German, "ka" Georgian, "uz" Uzbek). All widget UI text and the text response are then returned in that language. If currency is not specified, a sensible default is picked from the locale (tr→TRY, en→USD, de→EUR, ar→USD, az→AZN, ka→GEL, uz→UZS).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoUser language as BCP-47 or 2-letter code. Supported: "tr" Turkish, "en" English, "ar" Arabic, "az" Azerbaijani, "de" German, "ka" Georgian, "uz" Uzbek. The LLM MUST infer this from the conversation and pass it explicitly.
periodNoPeriod: "year", "season", "month" or explicit "YYYY-MM".season
sortByNo'cheapest' = minimum total cost, 'fairest' = most balanced cost across travellers (Tripuck USP), 'least-transfers' = fewest layovers.cheapest
originsYesList of origin IATA codes (2-5 cities). Example: ["IST","BER","DXB"] for three friends flying from Istanbul, Berlin and Dubai.
currencyNoISO 4217 currency code. Examples: TRY, USD, EUR, AZN, GEL, UZS. If omitted, a sensible default is picked from the locale (tr→TRY, en→USD, de→EUR, ar→USD, az→AZN, ka→GEL, uz→UZS).
directOnlyNoConsider only non-stop routes.
returnDateNoSpecific return date (optional), YYYY-MM-DD.
departureDateNoSpecific departure date (optional), YYYY-MM-DD.

TDQS

A4/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, non-destructive behavior. The description adds non-obvious traits: it runs multi-city optimization, computes a fairness score, and requires locale inference with specific language mapping, plus currency defaults. This goes beyond annotations, though it omits output format details.

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?

The description front-loads the core purpose, but includes three multilingual example queries that elongate it. It also repeats the title and some schema content, making it slightly less lean than ideal. Still, the structure is logical.

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?

The tool has 8 parameters and no output schema, so the description needs to explain behavior and return values. It covers usage and locale, but doesn't describe what the agent should do with the response (e.g., present a destination, show map, etc.). This is a notable gap given no output schema.

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 coverage is 100% and clearly documents all parameters including locale instructions and currency defaults. The description largely repeats this info (e.g., locale inference, currency mappings) without adding new parameter semantics beyond the schema. Hence baseline 3.

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 clearly states the tool finds the cheapest and fairest common destination for 2-5 people from different cities, with concrete example queries. This specific verb+resource scope distinguishes it from sibling tools like search_flights or cheapest_dates.

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

Usage Guidelines4/5

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

It explicitly says 'Use when the user asks to coordinate a trip across multiple origins and needs a shared destination,' providing a clear usage context. However, it doesn't name alternatives or explicitly state when not to use, so it stops short of full when/when-not guidance.

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

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct travel need: flight search, hotel search, eSIM search, price calendar, popular routes, meeting point coordination, and flight details. No two tools overlap in their core function; even cheapest_dates vs search_flights are clearly separated by use case (flexible date overview vs specific trip search).

Naming Consistency4/5

All tool names use lowercase snake_case and are reasonably descriptive. There is a mix of verb-first (search_flights, search_hotels, search_esim, find_meeting_point) and noun/adjective-first (cheapest_dates, popular_routes, flight_details), but the pattern is consistent enough that an agent can predict naming conventions.

Tool Count5/5

Seven tools is well-scoped for a travel search server. Each tool serves a distinct and valuable purpose, covering flights, hotels, eSIM, inspiration, and group coordination without bloat or redundancy.

Completeness4/5

The tool surface covers the core travel search lifecycle: search flights, search hotels, search eSIM, plus helpful extras like cheapest dates and popular routes. Minor gaps exist—for example, no hotel details tool or car rental search—but these are not fatal for the server's primary search-driven purpose.

Resources