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variotrip route eSIM configurator

Recommend a route

recommend_config
Read-onlyIdempotent

Use when the customer describes a trip instead of a size: the countries (with the days in each, when known) and how they use data (usage light / normal / heavy, or gb_per_day). Sizes the shared pool from the trip length and returns three server-quoted routes — exact, comfortable (×1.5) and generous (×2) — each with the pool in GB, the full price, a one-line reason and its buy_url, plus an optional budget check. Same prices as quote_route.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoTrip length in days (1–90). Give days, or days_in_country on the countries (then the trip length is their sum). With neither, the call fails with invalid_argument asking for days.
routeYesThe countries of the trip in travel order (1–8, each once).
usageNolight ≈ 0.5 GB/day, normal ≈ 1.5 GB/day (default), heavy ≈ 4 GB/day.
bucketNoOptional language-region bucket the customer shops in, e.g. en-gb, de-de (sets currency and link locale). Defaults from language.
budgetNoOptional budget for the whole route in the quoted currency; options above it are marked.
currencyNoOptional ISO 4217 override for prices.
languageNoISO language of the conversation, e.g. en, de, ja. Localizes country names and sets the language/currency of links and prices.
gb_per_dayNoOptional: the customer's own estimate in GB per day (wins over usage).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), and the description goes well beyond them: it discloses the derivation logic (pool sized from trip length), the exact three-tier output with multipliers, the per-option payload (pool GB, price, reason, buy_url), budget marking, and price parity with quote_route.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two dense sentences with the trigger condition front-loaded and zero filler; every clause (sizing basis, multipliers, per-option fields, budget check, price parity) carries decision-relevant information.

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?

For an eight-parameter read-only recommender with no output schema, the description supplies the missing return-value picture (three tiers, their contents, buy_url, budget flags) and the sizing rule, leaving nothing an agent needs before calling.

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 eight parameters are already documented, including usage→GB/day mapping and the gb_per_day-wins-over-usage rule. The description only restates the country/days/usage inputs at a high level and adds no syntax or precedence detail beyond the schema, so baseline 3 applies.

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?

Specific verb and resource: it sizes a shared data pool from a described trip and returns three server-quoted routes (exact, ×1.5, ×2). It explicitly differentiates itself from the sibling quote_route by the input framing ('trip instead of a size'), so an agent can pick it without opening either schema.

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

Usage Guidelines5/5

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

The first clause is an explicit selection rule ('Use when the customer describes a trip instead of a size') with the inverse condition implied, and it names quote_route to explain the price relationship so the agent knows which sibling to call for a size-based request.

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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