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Price a Whole Multi-Stop Trip

itinerary_quote
Read-only

Price a complete multi-stop or round-the-world trip and get back several ways of ticketing it — cheapest, fastest, fewest stops — with the actual tickets each one is built from. Use this for trips that will not go on a single fare, which is most itineraries with 3+ stops; use fare_quote when you want one specific itinerary on one ticket. It takes about a minute, so it returns a quoteReference immediately and you fetch the result with itinerary_quote_status. Keep that reference — it is the only way to retrieve the quote.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cabinNoCabin to price. Defaults to economy. 'premium' means premium economy.
datesYesDeparture date for each FLOWN leg, in travel order, as YYYY-MM-DD.
adultsNoAdult travellers. Defaults to 1.
citiesYesOrdered list of IATA city/airport codes for the whole trip, e.g. ['LAX','NRT','BKK','LHR','LAX']. Put '000' between two codes to mark that leg as travelled overland rather than flown.
infantsNoInfants under 2.
childrenNoChildren aged 2-11.

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses key behavioral traits: the operation takes about a minute, returns a quoteReference immediately, and requires that reference to retrieve the quote—noting it is the only way to retrieve it. This is valuable, non-obvious context.

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?

Four dense, purposeful sentences. The description front-loads the core purpose and output, then provides usage guidance and async behavior. No filler or redundancy.

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?

Despite having no output schema, the description conveys what results to expect (cheapest, fastest, fewest stops with actual tickets), explains the asynchronous flow, and warns about the retrieval dependency. This is comprehensive for a tool of this complexity.

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%, so the schema already documents all six parameters. The description adds contextual framing about multi-stop trips and fare structures but does not add new parameter-level semantics beyond the schema.

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 prices a complete multi-stop or round-the-world trip and returns multiple ticketing options. It also distinguishes itself from sibling tools like fare_quote and itinerary_quote_status, making its purpose unmistakable.

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 says when to use this tool ('trips that will not go on a single fare, which is most itineraries with 3+ stops') and names the alternative: 'use fare_quote when you want one specific itinerary on one ticket.' It also directs users to itinerary_quote_status for fetching results.

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

A4.1/5.0
Disambiguation3/5

Several tools overlap in the routing/planning space—plan_route, custom_route_build, route_validate, route_suggest, and hub_check all touch alliance feasibility, dead legs, and carrier selection. The descriptions do provide usage cues, but an agent could still struggle to pick the right one for a given step.

Naming Consistency4/5

Most tools follow a clear object-plus-action pattern like route_estimate, route_suggest, fare_product_match, and custom_route_build. plan_route inverts the pattern and itinerary_quote_status is a noun phrase rather than an action, but the overall style is mostly consistent and readable.

Tool Count4/5

Eleven tools is a reasonable scope for a multi-city flight planning domain that spans routing, validation, estimates, quotes, and consultant handoff. The count is not excessive, though some consolidation among the overlapping planning tools would tighten the set.

Completeness4/5

The toolset covers the main journey from trip idea and routing suggestion through validation, fare product matching, live quoting, quote status polling, and human consultant submission. Minor gaps exist—such as no explicit fare rule detail retrieval or date-flexible search—but the core workflow is coherent and has no dead ends.