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Wizzair MCP

Wizzair timetable with daily prices

wizzair_search_timetable

Wizzair daily prices AND all departure times on a route in a from/to window (outbound leg): per day you get the price in the route's local currency plus each departure datetime. Data comes live from Wizzair's private booking API (unofficial — may briefly fail if Wizzair rotates or throttles it).

Input Schema

NameRequiredDescriptionDefault
wdcNoPrice with the Wizz Discount Club (WDC) membership discount. Default false.
adultsNoNumber of adults. Default 1.
infantsNoNumber of infants (under 2). Default 0.
to_dateYesWindow end, YYYY-MM-DD.
childrenNoNumber of children (2-14). Default 0.
no_cacheNoForce a fresh Wizzair fetch and bypass this server's result cache. Default false.
from_dateYesWindow start, YYYY-MM-DD.
arrival_stationYesArrival airport IATA code (3-letter, e.g. BCN).
departure_stationYesDeparture airport IATA code (3-letter, e.g. WAW).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and rises to it partly: it discloses live data from Wizzair's private booking API, flags it as unofficial, and warns it may briefly fail on rotation or throttling. It also names the currency of returned prices. It omits cache behavior (only hinted at via the no_cache param) and whether results can be partial.

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 what you get per day, then the reliability caveat. Dense but nearly every clause adds information; the parenthetical 'unofficial — may briefly fail' is the only slightly compressed piece.

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?

For a 9-parameter search with no output schema, the description explains the per-day return shape (price plus departure datetimes) well enough to call correctly. The main missing piece is cache/refresh semantics, which is important here given the no_cache parameter and live-source fragility.

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 nine parameters are already documented in the schema, including WDC, pax counts, and no_cache. The description adds only the notion that prices are in the route's local currency and that this is the outbound leg; baseline 3 applies.

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 and resource ('Wizzair daily prices AND all departure times on a route in a from/to window'), with the outbound-leg scope called out explicitly. It is understandable without opening the schema, though it doesn't explicitly name which sibling (fares, flight_dates, flights) is the alternative.

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 'outbound leg' scope and the from/to window imply how it fits alongside wizzair_search_fares and wizzair_search_flight_dates, but the description never states when to prefer this tool or when to avoid it. Usage is inferable rather than directed.

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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