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SupaPark — Walt Disney World live data

Watch a ride

watch_ride
Idempotent

Creates an alert on the linked SupaPark account for a Walt Disney World ride. kind "lightning_lane": alert when Lightning Lane return times open up (optionally for a specific date). kind "wait_drop": alert when the standby wait drops to threshold_minutes or less. Delivery channel follows the account's plan. Requires a linked SupaPark account (pairing key).

Input Schema

NameRequiredDescriptionDefault
dateNolightning_lane only: YYYY-MM-DD. Omit for the next opening.
kindYes
rideYesRide slug (e.g. "space-mountain") or name.
threshold_minutesNowait_drop only. Default 30.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations mark it as a non-read-only, idempotent, non-destructive mutation, and the description aligns by saying it creates an alert. It adds behavior annotations don't carry: the account-link/auth prerequisite (pairing key) and that the delivery channel follows the account plan. It does not state what happens on re-creation or what a returned alert looks like.

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?

Front-loaded with the core action ("Creates an alert...") followed by compact per-kind semantics and prerequisites. Every sentence carries information; no filler or restatement of the title.

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 mutation tool with no output schema, the description covers the essentials: auth requirement, delivery behavior, and kind semantics. It could add what happens on success (e.g. a returned watch and how it relates to list_my_watches), but nothing critical to invoking it correctly is missing.

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?

Schema coverage is 75% and the schema documents date and threshold_minutes, but the description adds real meaning for kind by translating each enum value into the triggering condition (return times open vs wait drops to threshold). This goes beyond the bare enum and threshold fields, though ride itself is only covered by the schema.

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: "Creates an alert ... for a Walt Disney World ride," and the two kinds clarify the scope. It is clearly distinct from watch_dining by resource, but it never names a sibling or explicitly contrasts itself, so it stops short of the tier-5 sibling differentiation.

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?

It explains when each kind applies (lightning_lane vs wait_drop), which is real usage guidance, but there is no guidance on when to choose this creation tool versus siblings like get_live_wait_times, get_crowd_forecast, or list_my_watches. Usage is implied through the kind semantics rather than stated as when/why to pick this tool.

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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