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Travel Google Flights

travel_google_flights
Read-only

One-way flight options with prices from Google Flights for a route and date (IATA codes, e.g. JFK to LHR): lowest fare in USD, airline(s), stops, departure and arrival airport, local times and dates, total duration and layover airports, as shown on Google's public results page. Economy, 1 adult. Prices change constantly and are Google's displayed 'from' fares, not bookings. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
toYesDestination airport or city IATA code, e.g. LHR, LON (required)
dateYesDeparture date YYYY-MM-DD, today or later (required)
fromYesOrigin airport or city IATA code, e.g. JFK, NYC (required)
limitNoFlights to return, 1 to 50 (default 20)
nonstopOnlyNotrue to keep only nonstop flights

Output Schema

NameRequiredDescriptionDefault
toNo
dateNo
fromNo
countNo
totalNo
sourceNo
flightsNo
cheapestNo
checkedAtNo
nonstopOnlyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, but the description adds critical non-obvious behavior: pricing is $0.002 USDC per successful call via x402 (with failed calls free), and results are Google's displayed 'from' fares that change constantly and are not bookings. This goes well beyond what the annotations provide.

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 is front-loaded with the core purpose and then covers pricing caveats in two short sentences. The first sentence is long and dense but every element (route, date, IATA codes, output fields, fare type) earns its place; only minor tightening would improve it.

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 a full output schema and annotations already present, the description still adds the necessary context about payment mechanics, fare volatility, and non-booking status. Nothing an agent needs to invoke or interpret the tool correctly 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?

Schema coverage is 100%, so all five parameters are already documented with descriptions. The description reinforces IATA code usage for route and date but adds no new meaning for 'limit' or 'nonstopOnly' beyond what the schema states. Baseline 3 is appropriate when the schema does the heavy lifting.

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 states a specific verb and resource: it returns one-way flight options with prices from Google Flights for a route and date. It adds scope details (economy, 1 adult, IATA codes, USD fares) that distinguish it from generic travel search siblings like kayak or skyscanner.

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

Usage Guidelines3/5

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

Usage is implied by the context of flight-price lookup, but the description never says when to choose this tool over sibling alternatives such as travel_kayak, travel_skyscanner, or travel_google_travel. An agent must infer the selection criterion from the tool name alone.

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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