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Glama
vikramwish

mcp-uae-property

by vikramwish

get_dld_area_analytics

Retrieve Dubai district investment metrics: average price per sq.ft, median 1-bedroom rents, gross yields, and 5-year capital appreciation for sub-markets.

Instructions

Retrieves district-level investment metrics including average price per sq.ft, median 1-bedroom rents, typical gross yields, and 5-year capital appreciation for Dubai sub-markets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
districtYesDistrict name or ID (e.g. "downtown-dubai", "Dubai Marina", "palm-jumeirah")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. The verb 'Retrieves' implies a read-only lookup, which is useful, but nothing is said about data currency, coverage limits, behavior for an unrecognized district, authentication, or rate limits.

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 dense sentence with the verb front-loaded and every clause carrying distinct content (the four metric families plus the geographic scope). Nothing is wasted, though the 'Dubai sub-markets' tail is close to redundant with the rest of the sentence.

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 and only one parameter, the description correctly spends its words enumerating the returned metrics, which is the main thing an agent would otherwise lack. It is close to sufficient, missing only edge behavior for invalid districts and the granularity of the metrics returned.

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%, with the district parameter documented and exemplified ('downtown-dubai', 'Dubai Marina', 'palm-jumeirah'), so the baseline is 3. The description adds 'district-level' scoping but no extra parameter syntax or format detail beyond the schema.

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 (Retrieves) and resource (district-level investment metrics), and enumerates the exact metrics returned (price per sq.ft, 1-bed rents, gross yields, 5-year appreciation). It implicitly separates itself from the calculation siblings by being a retrieval/lookup tool, but it never names an alternative, so sibling differentiation is left to inference.

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?

Usage is only implied: the presence of a district parameter and the phrase 'for Dubai sub-markets' signals you call it to look up already-computed district analytics. There is no explicit when-to-use or when-not guidance, and no routing to or from siblings like calculate_rental_yield, which also concerns yields.

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