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Dubai Data — Dubai real estate statistics

Monthly market report

get_monthly_report
Read-onlyIdempotent

Get the monthly Dubai property market report: key figures (sales, median price, AED/sqft, year-on-year), summary facts, top movers and a ready-made citation string. month: 'YYYY-MM'; omit for the latest report. Data: registered sales transactions from Dubai Land Department open data, updated daily, licensed CC BY 4.0. Each response includes the url of the source page on datadubai.ae.

Input Schema

NameRequiredDescriptionDefault
monthNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The description adds real behavioral context beyond that: the data source (Dubai Land Department open data), daily refresh cadence, CC BY 4.0 licensing, and that each response embeds the source page URL on datadubai.ae.

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 tight lines: purpose and payload first, parameter semantics next, then data provenance. No filler, and the most important information is front-loaded.

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?

There is no output schema, but the description compensates by enumerating the returned fields (key figures, summary facts, top movers, citation string, source URL). Combined with annotation coverage for safety semantics, an agent has everything needed to call and interpret this tool.

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 0%, so the description must carry parameter meaning, and it does: it specifies the 'YYYY-MM' format and the null/omit behavior for the latest report, neither of which appears in the schema. It stops short of specifying valid date ranges or error behavior for malformed months.

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 description names a specific verb (get) and resource (monthly Dubai property market report) and enumerates what the report contains (sales, median price, AED/sqft, YoY, top movers, citation string). It is clear what an agent gets back, though it never explicitly distinguishes itself from the sibling get_market_summary.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

It gives a concrete usage rule for the single parameter ('omit for the latest report'), which is genuinely helpful. However, there is no guidance on when to prefer this over the closely named sibling get_market_summary, so the routing guidance is only implied.

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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