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get_wait_time

Look up current standby wait time for a Disney ride at a supported park. Resolves ride names by partial match and returns minutes plus status.

Instructions

Get the current standby wait time, in minutes, for a Disney ride.

Use this for "how long is the line for X" questions. This is the posted standby wait only; Lightning Lane and virtual queue times are not included.

Args: park: Park name, alias, or ThemeParks.wiki entity ID. One of: Magic Kingdom, EPCOT, Hollywood Studios, Animal Kingdom, Disneyland (CA), California Adventure. ride: Attraction name as a person would say it; near-misses and partial names such as "space mountain" or "tron" are matched.

Returns: A dict with the resolved park and ride names, the standby wait in minutes, and the ride's status. wait_time_minutes is None when no wait is posted, which is normal for a ride that is down, closed, or run as a walk-up or virtual queue; check status to tell those apart.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
parkYes
rideYes
Behavior4/5

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

With no annotations provided, the description carries the full burden, and it does well by explicitly stating the return value structure: 'wait_time_minutes is None when no wait is posted' and guides interpretation via 'check status to tell those apart.' It also mentions the tool performs name resolution and returns resolved names. The only minor gap is not disclosing any potential side effects or network calls, which are likely irrelevant here, but overall this is a strong behavioral disclosure.

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?

The description is well-structured with clear sections (summary, usage context, args, returns). It front-loads the core purpose and then provides necessary details. It is appropriately sized given the complexity and provides all necessary information without fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's relative simplicity (2 string params, no output schema), this description is complete. It explains return semantics (None case and status field), gives examples of accepted input formats, and lists all valid park values. An agent has everything needed to call this tool correctly and interpret results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, and it does: park gets a full list of accepted values and the concept of aliases/entity IDs, while ride explains fuzzy matching behavior with examples. This goes far beyond the schema's minimal definitions.

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 clearly states a specific verb and resource: 'Get the current standby wait time, in minutes, for a Disney ride.' It goes beyond a simple definition by specifying the unit, the scope (standby only), and explicitly excluding Lightning Lane and virtual queue times, which also differentiates its behavior from siblings.

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 description provides a direct usage example ('use this for "how long is the line for X" questions') and clarifies what the tool does not cover (Lightning Lane, virtual queue). While it doesn't explicitly mention the sibling tool get_ride_status by name or provide when-to-use-exclusions beyond wait time, the context is clear enough for typical scenarios, though it could be more explicit about when to prefer the sibling.

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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