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Fare Deals

Cheapest recent fares from a city, to a place or anywhere

find_deals
Read-onlyIdempotent

Cheapest recent fares from a city, to a place or anywhere. The say field is a ready-made answer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoCity or airport, or anywhere (default). Same state or country hints as from.
fromYesCity or airport, for example New York or JFK. Add a state or country when a name is shared: Birmingham, UK; Birmingham, AL; Portland, Maine.
limitNoHow many deals to return, 1 to 20.
monthNoDeparture month 2026-11 or date 2026-11-14
returnNoReturn month or date
countryNoTwo-letter country for the currency, for example US, GB, CA, AU, DE. Leave out to use the traveller's location.
nonstopNoTrue for direct flights only.
one_wayNoTrue for one-way fares only.
max_priceNoBudget in US dollars

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds that the 'say field is a ready-made answer' (though no such field appears in the schema), which is confusing rather than clarifying. No further behavioral context (e.g., caching, freshness of fares) is provided. With annotations covering safety, a 3 reflects minimal added value.

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?

Two sentences, front-loaded with the core purpose. The second sentence about the 'say field' is cryptic and doesn't earn its place, but overall the description is brief and doesn't ramble.

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?

For a read-only, idempotent search tool with 9 well-documented parameters and no output schema, the description covers the basic purpose. However, it omits any mention of what the results look like, how they are ranked, or how the 'say' field relates to output. No output schema exists, so the description should ideally explain return values, but it doesn't.

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 all 9 parameters are fully documented in the schema. The description adds no parameter-specific details. Per calibration, when schema coverage is high, baseline is 3 even with no param info in description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('find' implied) and resource ('deals'/'fares') with clear scope: cheapest recent fares from a city, to a place or anywhere. Distinguishes from siblings like cheapest_dates (dates, not fares) and look_up_place (place lookup, not fares), though it doesn't name them explicitly.

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?

The description implies usage for finding cheap fares but provides no explicit when-to-use guidance, no alternatives, and no exclusions. An agent must infer from the purpose alone that this is for deal discovery rather than date flexibility or place resolution.

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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