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Côte Privée: private driver in Burgundy

Find multi-day trips

find_packages
Read-onlyIdempotent

Ready-made trips of one to seven days from Beaune, in plans (where the travellers arrive, the pace): the driver meets them at a station or airport, takes them to the vineyards, abbeys or tables and back. Each plan is priced per vehicle as the sum of its services; hotels, tastings, meals and visits are the traveller's own. startDate dates each service and the booking link; request_booking takes the plan's id as package. 6 results unless limit, cheapest first.

Input Schema

NameRequiredDescriptionDefault
daysNo
langNoar: Arabic notes, data in English.
paceNolight: one or two outings a day; full: with wine days.
limitNo
queryNo
themeNo
arriveNobeaune (its station or the hotel), dijon (Dijon-Ville: the TGV from Paris), paris (collected in Paris), an airport or airfield, or air for any.
maxPriceNo
startDateNo

Output Schema

NameRequiredDescriptionDefault
countYes
packagesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

The description adds substantial context beyond the read-only annotations: pricing is per vehicle as the sum of services, hotels and tastings are excluded, results default to 6 cheapest-first, and startDate affects services and booking links. It does not fully clarify availability, currency, or edge cases, but it is far richer than the annotation baseline.

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?

The description is front-loaded with the core resource and avoids obvious filler. It is dense and mostly earns its space, though the single-paragraph form and parenthetical phrasing make it slightly harder to scan.

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?

Given 9 parameters, 33% schema coverage, and an existing output schema, the description covers the core concept, pricing model, default result ordering, and booking linkage. However, it omits meaningful explanation of key filters such as theme and maxPrice, leaving the agent to infer their use.

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 only 33%, so the description must compensate for several undocumented parameters. It adds meaning for startDate, limit behavior, and the trip duration range, but leaves query, theme, and maxPrice largely unexplained.

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 clearly identifies the resource: ready-made one-to-seven-day trips from Beaune, organized as plans with driver pickup and visits. It also cross-references request_booking, but it does not explicitly differentiate this tool from search-oriented siblings like find_events or search_places.

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?

Usage is implied rather than fully stated: the tool finds packages, and request_booking consumes a package id. There is no explicit guidance on when to use this versus get_prices, quote, check_availability, or plan_wine_day.

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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