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SupaPark — Walt Disney World live data

Lightning Lane prices and value

get_lightning_lane_prices
Read-only

Today's Lightning Lane Single Pass prices per attraction at a Walt Disney World park, with 30-day min/median/max, the current posted wait, minutes saved per dollar and a value verdict (e.g. "great deal").

Input Schema

NameRequiredDescriptionDefault
parkYesPark to price.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds that pricing is compared against a 30-day min/median/max window, which is useful behavioral context, but says nothing about data freshness, caching, or refresh cadence for a 'today's prices' tool.

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?

A single front-loaded sentence enumerating the returned metrics with no filler. Slightly dense as a comma-listed noun phrase rather than a crisp sentence, but every clause earns its place.

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?

With no output schema, the description usefully enumerates the return payload (30-day min/median/max, current posted wait, minutes saved per dollar, value verdict), which is exactly what an output schema would otherwise carry. It stops short of clarifying freshness or whether 'today' is implicit or derived, a minor gap for a single-parameter tool.

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% with a single enum-constrained 'park' parameter, so the schema carries the parameter semantics. The description only restates that results are per-park ('at a Walt Disney World park') and adds no syntax or scoping detail beyond that. Baseline 3 is appropriate.

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 a specific verb+resource ('Lightning Lane Single Pass prices per attraction') and pins the scope to a single park. The 'Single Pass' qualifier distinctively separates it from siblings like get_multi_pass_price and get_lightning_lane_sellouts without needing to open a schema.

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

Usage Guidelines2/5

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

There is no when-to-use, when-not-to-use, or alternative-tool guidance. The closest siblings (get_multi_pass_price, get_lightning_lane_sellouts) are never referenced, so an agent must infer which price tool to pick from the names alone.

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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