Skip to main content
Glama

Get park reservation availability

parky_get_park_availability
Read-only

Use this when a visitor asks whether a park has reservations or blockout dates for a ticket or pass type on given dates at a supported resort. Returns availability by segment (ticket or pass type) for up to 31 days. Ask for the fewest days you need; long ranges are large.

Input Schema

NameRequiredDescriptionDefault
dateNoFirst date, YYYY-MM-DD, from today through 399 days ahead. Defaults to today.
daysNoNumber of consecutive days, 1 to 31. Defaults to 7.
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. Changed4 schema fields changed
    • changedInput schema / properties / date / description
      Previous value: -"First date, YYYY-MM-DD; defaults to today."New value: +"First date, YYYY-MM-DD, from today through 399 days ahead. Defaults to today."
    • changedInput schema / properties / days / description
      Previous value: -"Number of days, 1 to 7; defaults to 3."New value: +"Number of consecutive days, 1 to 31. Defaults to 7."
    • changedInput schema / properties / days / maximum
      Previous value: -7New value: +31
    • 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)."
  2. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already establish readOnly, non-destructive, closed-world behavior, so the description's job is to add context — which it does by disclosing that results are broken out by segment and that long ranges produce large responses. It does not say how 'no availability' is represented, which is the main remaining gap.

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?

Three sentences, front-loaded with the usage trigger, then the return shape and limit, then the practical advice. Every sentence carries distinct information and there is no filler.

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 sketch the return value, and it does (availability by segment for up to 31 days). It covers enough for a read-only lookup tool, though the absent/available states of the response are not described.

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 100%, so the baseline is 3; the description adds operational meaning for the days parameter by framing it as a response-size tradeoff ("Ask for the fewest days you need; long ranges are large"). The date range and resort formats are left entirely to 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?

The verb+resource is specific: it returns reservation/blockout-date availability for a ticket or pass type on given dates at a resort. That is clearly distinct from siblings like parky_get_ticket_prices, parky_get_hours, or parky_get_event_nights, though no sibling is named explicitly to force the contrast.

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?

"Use this when a visitor asks whether a park has reservations or blockout dates..." gives a concrete trigger condition an agent can match against a user question. There is no explicit when-not guidance or named alternative tool, so it stops short of full routing instruction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources