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Ecommerce Flixbus

ecommerce_flixbus
Read-only

FlixBus and FlixTrain trips between two cities on a date: departure and arrival times and stations, duration, number of transfers, price in EUR (with and without platform fee), seats left and availability status, from FlixBus's public search API. One adult, one way. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesArrival city name, e.g. Munich (required)
dateNoTravel date YYYY-MM-DD, today to 180 days ahead (default: 7 days from today)
fromYesDeparture city name, e.g. Berlin (required)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
dateNo
fromNo
countNo
tripsNo
sourceNo
checkedAtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations only say readOnlyHint and openWorldHint, but the description adds the critical operational fact that the call costs $0.002 USDC via x402 on Base/Solana/Arc and that failed calls are not charged — payment/auth behavior an agent must know before invoking. It also discloses the upstream source (public search API).

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 the tool returns before the payment terms. The field enumeration is somewhat long given an output schema exists, but every clause carries concrete information (currency, fee split, availability).

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?

An output schema exists, so return values are covered, and the description still adds the pricing model, source, and trip constraints. Only minor gaps remain — nothing about rate limits or how city-name mismatches are handled.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema coverage, the schema already documents from/to/date and the 180-day date window. The description contributes meaning the schema cannot: the query is fixed to one adult and one-way, so the agent knows not to try to encode passengers or round trips.

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 names the exact resource (FlixBus/FlixTrain trips between two cities on a date) and enumerates the returned fields (departure/arrival times, stations, duration, transfers, EUR price with/without fee, seats left, availability). The data source is identified as FlixBus's public search API. No sibling tool in this list covers intercity travel, so there is no ambiguity about which tool to pick.

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

Usage Guidelines4/5

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

"One adult, one way" tells the agent the query scope, which is useful framing for when this search applies. However, there is no explicit statement of when NOT to use it or any alternative tool; the guidance is implied rather than stated.

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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