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Glama

dubai_property_transactions

Retrieve Dubai Land Department registered property transactions for a date range, aggregated by community, property type, and sale type with counts, values, area, and price per sqm.

Instructions

Official Dubai Land Department (DLD) registered property transactions for a date range, aggregated by community, property type, sub-type (flat, villa, office...) and first sale vs resale: transaction count, total value (AED), total area, price per sqm, average price. Dates are YYYY-MM-DD. English and Arabic names. Source: dubailand.gov.ae public data.

Input Schema

NameRequiredDescriptionDefault
to_dateYes
from_dateYes
transaction_typeNosales

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the data source (dubailand.gov.ae), that output is pre-aggregated rather than raw records, the aggregation dimensions, the bilingual naming, and the date format. It omits freshness/data-lag and error behavior for invalid ranges, but the core behavioral profile is clear.

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?

One dense but front-loaded paragraph that leads with the source and scope before listing dimensions and metrics; every clause carries information. The long enumeration of metrics is slightly list-like but not padded.

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?

An output schema exists, so return-field explanation is unnecessary, and the description already names the aggregation keys and metrics. The remaining gap is the unmentioned transaction_type option and data-freshness expectations for a public-data source.

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 0%, so the description must compensate: it clarifies that from_date/to_date are YYYY-MM-DD and define the reporting range, and that results are grouped by sale-vs-resale. However, the transaction_type enum (sales/mortgages/gifts) and its default of 'sales' are never mentioned, leaving one of three parameters semantically undocumented.

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?

States a specific resource (DLD-registered property transactions), scope (date range), and the exact aggregation grain and metrics returned. Sibling tools are in unrelated domains, so no differentiation is required for the agent to identify this correctly.

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?

The description implies when to use it (needing aggregated Dubai property transaction statistics over a date range) and gives the required date format, but offers no explicit exclusions, caveats about aggregation limits (no per-transaction drilldown), or guidance on choosing values for transaction_type.

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