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Fair Fare: Getting a ride at an airport

fairfare_get_airport
Read-onlyIdempotent

Fair Fare. Getting a ride at an airport. Where Uber and Lyft pick up, how the taxi rank works, flat taxi fares, drop-off and pickup charges for cars, meet and greet rules, public transport into the city with prices, and tips, from each airport's own pages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesAirport code or name, for example JFK, LAX, LHR or Heathrow.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety and mutation profile is fully covered by structured data. The description adds no behavioral context beyond that — no staleness, coverage, or rate-limit notes — only a content inventory, so it is a baseline 3.

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?

One front-loaded sentence with a dense, useful topic list and no filler paragraphs. The opening fragments 'Fair Fare.' and 'Getting a ride at an airport.' restate the name and title, which is minor redundancy rather than bloat.

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

Completeness4/5

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

With only one required parameter, full schema coverage, and no output schema, the description's topic inventory usefully previews what the agent gets back for a given airport. Given the annotations already cover the read-only profile, nothing essential to invoking it 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 description coverage is 100% for the single 'code' parameter, including examples (JFK, LAX, LHR, Heathrow), so the schema carries the semantics. The description adds nothing about the code argument, which is the correct baseline of 3 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.

Purpose4/5

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

The description states a recognizable purpose (airport ground-transport guidance) and enumerates concrete topics — Uber/Lyft pickup, taxi rank, flat fares, drop-off charges, meet-and-greet, public transport with prices — which lets an agent distinguish it from fare-estimate or tariff siblings. The verb is implicit (it retrieves rather than computes), and it never names a sibling tool, so it stops short of a 5.

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

Usage Guidelines2/5

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

There is no when-to-use guidance and no routing to alternatives such as fairfare_get_taxi_tariff, fairfare_estimate_fare, or fairfare_best_time_to_ride. The agent must infer from topic hints alone whether this or a neighboring tool is correct.

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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