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UAE hotel demand calendar

demand_calendar
Read-only

Fostay's editorial demand calendar: the upcoming date windows where Dubai and Abu Dhabi hotels predictably spike or sell out (GITEX, F1, NYE, Eid, school breaks...), each with a suggested book-by deadline. Use it to warn users about expensive dates or find event stays.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoFilter by city (default: both)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already establish readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description usefully adds provenance (Fostay editorial data, predictive rather than live) and the city scope, but says nothing about refresh cadence, how far ahead windows are covered, or return format/pagination.

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?

Two sentences, front-loaded with the resource definition followed by the use case. The parenthetical event list is slightly listy but each item earns its place by making the calendar's contents concrete.

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 does the work of explaining returns: date windows, spike/sell-out predictions, and book-by deadlines. It lacks only coverage-window and pagination details, which are minor for a one-optional-parameter read 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% for the single optional city enum, so the schema already carries the parameter semantics. The description's mention of Dubai and Abu Dhabi aligns with the enum but adds no filtering syntax, default behavior, or output-shaping detail beyond it; baseline 3 applies.

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 concrete resource (an editorial demand calendar of Dubai/Abu Dhabi hotel spike and sell-out windows) with example triggers (GITEX, F1, NYE, Eid, school breaks) and the payload it carries (a suggested book-by deadline). It is clearly distinct from sibling get_live_rates, which supplies live pricing rather than curated forecasts.

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 use case — warn users about expensive dates or find event stays — which tells the agent the right situation to reach for it. It stops short of naming when not to use it or pointing at a sibling such as when_to_go for alternative timing advice, so it is clear context without exclusions.

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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