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Cheapest cached date in a window

charter_flexible_dates
Read-onlyIdempotent

For flexible travellers: the lowest CACHED package total for each departure date inside a window (max 31 days) for a destination and party, plus best_value_date. Dates with no cache are returned as availability_status=no_cached_data — NOT as "no offers" (the cache only holds recently searched dates; the search_url prices them live). CACHED prices (from recent real searches on flytravel.al — not a live query; every row carries cached_at/age_minutes). Charter prices are PACKAGE TOTALS in EUR for the row's "party" (flight + hotel + transfers), NOT per person. party_match=false means the price is the 2-adult reference, not the total for the requested party — say so. A price belongs ONLY to its own "date": never present it as the price of another date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
adultsNoNumber of adults (default 2).
nightsNoTrip length in nights. Omit for the standard charter length (6 nights / 7 days). Most departures also sell 3-10 nights.
date_toNoWindow end, YYYY-MM-DD (default date_from + 14 days; max 31-day window).
date_fromNoWindow start, YYYY-MM-DD (default today).
stars_minNoMinimum hotel star rating (1-5).
destinationYesDestination key, e.g. 'antalya' or 'bodrum'.
children_agesNoAge of each child AT DEPARTURE (0-14 = child; 15+ is counted as an adult automatically).
budget_total_maxNoMax TOTAL budget in EUR for the whole party.

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already mark it read-only/idempotent/non-destructive, so the description adds non-obvious behavioral detail: no_cached_data is not 'no offers', prices are package totals in EUR not per person, party_match=false means the 2-adult reference, and a price belongs only to its own date. These caveats are far beyond what the annotations convey.

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?

Every sentence carries a distinct warning or clarification; there is no filler. The core purpose is front-loaded and the caveats are ordered logically from cache semantics to pricing units to date ownership.

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

Completeness5/5

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

With no output schema, the description carries the full burden of explaining response semantics, and it covers the critical fields (availability_status, cached_at/age_minutes, party_match, best_value_date) and their pitfalls. An agent can interpret rows safely without further guidance.

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%, so the parameters are already documented; the description adds relevant context about party-level totals and window length but does not add per-parameter syntax beyond the schema. The baseline of 3 is appropriate because the schema carries the parameter burden.

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?

States a precise operation: return the lowest cached package total for each departure date in a window, plus best_value_date, for a destination and party. The 'CACHED' and 'window' qualifiers distinguish it from siblings like charter_cheapest and charter_dates without needing their schemas.

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?

'For flexible travellers' gives a clear when-to-use signal, and the explanation that this is cached rather than live tells the agent when it is not appropriate. It stops short of naming a sibling as the live alternative, but the context is strong enough for routing.

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

A4.4/5.0
Disambiguation4/5

Most tools have clearly distinct roles, and the charter_* family is carefully delineated (cheapest by destination, cheapest by date window, filtered discovery, single hotel, comparison). There is still some surface-level overlap between charter_cheapest, charter_flexible_dates, and charter_offers, though the descriptions do enough to prevent major misselection.

Naming Consistency4/5

The naming is generally consistent and readable: charter_* tools share a strong prefix, and hotel_details/compare_hotels/tours_list/tour_details follow predictable noun-based patterns. Minor deviations like booking_link (verb+noun) and prices_digest (noun+noun) do not create real confusion.

Tool Count5/5

Twelve tools is well within the ideal range for a travel-domain server, and each tool covers a distinct query pattern: discovery, cheapest pricing, flexible dates, specific hotels, comparisons, static details, tours, and booking links. The count feels justified rather than padded.

Completeness4/5

The surface covers the main user journey well: find charters, filter by budget/features, compare hotels, get hotel details, check tours, and obtain booking links. Minor gaps exist, such as no non-charter package filtering by date/budget and no standalone flight/transfer search, but agents can still complete realistic travel-planning tasks.

Resources