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Get ticketed event nights

parky_get_event_nights
Read-only

Use this when a visitor asks about separately ticketed event nights at a supported resort, such as Mickey's Not-So-Scary Halloween Party, Disney Jollywood Nights or Halloween Horror Nights: which nights are on sale or sold out, and the lowest price. Covers up to 60 days. Parky cannot sell tickets.

Input Schema

NameRequiredDescriptionDefault
toNoLast night, YYYY-MM-DD; at most 59 days after from. Defaults to 29 days after from.
fromNoFirst night, YYYY-MM-DD, from today through 365 days ahead. Defaults to today.
resortYesResort key (walt-disney-world, disneyland-resort, universal-orlando, universal-studios-hollywood), canonical ID, name, or shorthand (wdw, dlr, uor, ush).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / from / description
      Previous value: -"First night, YYYY-MM-DD; defaults to today."New value: +"First night, YYYY-MM-DD, from today through 365 days ahead. Defaults to today."
    • changedInput schema / properties / resort / description
      Previous value: -"Resort key or shorthand: wdw, dlr, uor or ush."New value: +"Resort key (walt-disney-world, disneyland-resort, universal-orlando, universal-studios-hollywood), canonical ID, name, or shorthand (wdw, dlr, uor, ush)."
    • changedInput schema / properties / to / description
      Previous value: -"Last night, YYYY-MM-DD; defaults to 29 days after from; at most 60 days in all."New value: +"Last night, YYYY-MM-DD; at most 59 days after from. Defaults to 29 days after from."
  2. Added

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, destructiveHint=false and openWorldHint=false, so the safety profile is covered. Beyond that the description adds real behavioral context: a ~60-day coverage window and the explicit inability to transact tickets, which prevents an agent from promising a purchase. It stops short of describing the response shape in any detail.

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: the first front-loads the use trigger, examples, and output content; the second carries the two constraints. There is no filler and no repetition of structured fields.

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 must carry return-value meaning, and it does at a high level (nights on sale or sold out, lowest price). What is missing is any hint of response structure (per-event grouping, per-night entries) and how the stated 60-day coverage interacts with the schema allowing a 'from' date up to 365 days ahead, a mild ambiguity an agent may hit.

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 resort keys/shorthands and date semantics fully documented in the schema, so the baseline applies. The description's 'Covers up to 60 days' loosely reinforces the from/to window but adds no syntax, format, or enumeration meaning beyond what the parameters already state.

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 states a specific verb and resource ('separately ticketed event nights'), names concrete examples (Mickey's Not-So-Scary Halloween Party, Jollywood Nights, Halloween Horror Nights), and enumerates the data returned (on-sale/sold-out status, lowest price). This lets an agent distinguish it from siblings like parky_get_ticket_prices or parky_get_hours without opening 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 Guidelines4/5

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

It gives an explicit trigger ('Use this when a visitor asks about separately ticketed event nights at a supported resort') plus a scope limit ('Covers up to 60 days') and a capability boundary ('Parky cannot sell tickets'). It does not name a competing sibling for general ticket pricing, so the routing guidance is clear but not fully comparative.

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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