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mouseedge-skipper

create_watch_alert

Arm a new automated drop watch, Lightning Lane auto-booker, or dining reservation stakeout in Disney Edge.

Input Schema

NameRequiredDescriptionDefault
phoneNoOptional E.164 phone number of the customer account.
maxWaitNoFor STANDBY_UNDER or DINING_WALKUP: target maximum wait time in minutes.
autoBookNoFor LIGHTNING_DROP: whether to auto-select and auto-book when slot drops (requires SKIPPER_PASS).
dineDateNoFor DINING_ADR: date of reservation in YYYY-MM-DD format.
partySizeNoTraveling party size (defaults to 4).
watchTypeYesType of alert: LIGHTNING_DROP (sniping drop replenishments), STANDBY_UNDER (wait drops below X mins), RIDE_REOPENS (alert when ride restarts), DINING_ADR (reservation date stakeout), DINING_WALKUP (walk-up table wait).
entityNameYesName of the ride or restaurant (e.g. "Cosmic Rewind", "Test Track", "Space 220", "TRON", "Seven Dwarfs Mine Train").

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations only declare readOnlyHint=false, confirming a mutation but nothing more. The description does not disclose that the alert persists and runs server-side, whether creating duplicates is allowed, any cost/pass requirements, or what happens on fulfillment — the most important behavioral facts for an 'armed' background watcher.

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 that packs the resource and its three use cases with no filler. Slightly promotional wording ('stakeout', 'in Disney Edge') is the only wasted space.

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

Completeness3/5

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

With 7 parameters fully documented in the schema and no output schema, most structural information is covered, but the description never says what is returned (watch ID? confirmation?) or how the created alert is subsequently managed, which matters for a stateful automation 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% and the watchType enum already documents each mode and its mode-specific parameters (maxWait, autoBook, dineDate). The description adds no additional parameter meaning beyond the schema, so it sits at the baseline.

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 concrete verb (Arm/create) plus the resource (an automated watch alert) and names the three flavors it covers: drop watch, Lightning Lane auto-booker, dining stakeout. It is distinguishable from read-oriented siblings like list_active_alerts or get_live_waits, though the marketing phrasing 'in Disney Edge' adds little.

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?

No guidance on when to create a watch versus polling get_live_waits or reading list_active_alerts, no mention of prerequisites (e.g. SKIPPER_PASS for autoBook), and no mention of limits or duplicate-watch behavior. The agent must infer all routing logic.

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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