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Cape Winelands Visit Planner

Plan a winelands day route

plan_winelands_day
Read-only

Plans a self-drive winelands day: picks an efficient order of wine farm visits from a start point, checks each farm is open on arrival, and returns arrival times, drive distances and booking needs. Pass farm ids, or leave empty to auto-pick farms in an area.

Input Schema

NameRequiredDescriptionDefault
areaNoUsed when farm_ids is empty
dateYesYYYY-MM-DD
startYes
stopsNoNumber of farms when auto-picking
farm_idsNo
start_timeNo10:00
road_factorNoStraight-line to road distance factor
avg_speed_kmhNoCountry-road average incl. turns
minutes_per_stopNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the description only needs to add context, which it does: it discloses that the tool checks farm opening hours on arrival and computes booking needs, and describes what is returned. It does not mention failure behavior when a farm is closed, but the added behavioral detail is meaningful.

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 sentences, both front-loaded with the core action and the operational detail. No filler; every clause conveys behavior the agent needs.

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?

Despite nine parameters, a nested start object and no output schema, the description conveys the return contents (arrival times, distances, booking needs) and the two operating modes. Remaining gaps, such as closed-farm handling or route-failure behavior, are minor for a read-only planner.

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 56%, and the description adds real value for one gap by explaining that farm_ids can be left empty to auto-pick via area. However, several parameters (start_time, stops, road_factor, avg_speed_kmh, minutes_per_stop) are only documented in the schema and get no additional meaning from the description. A baseline 3 is appropriate given partial coverage.

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?

States a specific verb and resource ('Plans a self-drive winelands day') and enumerates the concrete operations: ordering farm visits, checking opening on arrival, and returning arrival times, distances and booking needs. This clearly separates it from the sibling lookup tools (get_wine_farm, search_wine_farms), which retrieve rather than plan a route.

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?

The final sentence explicitly resolves the main decision: 'Pass farm ids, or leave empty to auto-pick farms in an area,' tying each mode to its trigger. It gives clear context but does not name alternatives or state when-not to use this tool versus search_wine_farms.

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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