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Cheapest charter packages (live cache)

charter_cheapest
Read-onlyIdempotent

Cheapest flight+hotel charter packages from Tirana (Albania) per destination, from the live booking-engine cache (the 5 cheapest per destination, each on its own date). Use for "what is the cheapest…" only; for advice or filtering use charter_offers. 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
destinationNoOptional destination key, e.g. 'antalya' or 'bodrum'. Omit to get every destination.

TDQS

A4.7/5.0
Behavior5/5

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

Annotations declare readOnly, idempotent, non-destructive. The description adds valuable behavioral nuance beyond that: cached data with cached_at/age_minutes, package totals not per person, party_match=false semantics, and the strict rule that a price belongs only to its own date. These are critical to correct use and not present in 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?

Dense but every sentence earns its place. The main function is front-loaded, followed by usage routing, then three essential caveats about cache, pricing units, and date-attachment. Despite length, no filler or repetition.

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?

For a read-only, single-parameter, no-output-schema tool, the description covers purpose, when to use it, data provenance, unit semantics, and the most dangerous misuse (misattributing a price to a different date). Nothing critical 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?

Input schema covers the single 'destination' parameter 100%, including the note that omitting it returns every destination. The description does not add meaning beyond the schema; the main value is in interpreting returned rows, not in parameter syntax.

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?

Description opens with a specific verb and resource: 'Cheapest flight+hotel charter packages from Tirana (Albania) per destination, from the live booking-engine cache.' It further clarifies it returns the 5 cheapest per destination, each on its own date. This clearly distinguishes it from siblings like charter_offers.

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

Usage Guidelines5/5

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

Explicitly states when to use: 'Use for "what is the cheapest…" only; for advice or filtering use charter_offers.' It also warns that prices are cached and not live queries, setting correct expectations about freshness.

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