Skip to main content
Glama

Evlek — Northern Cyprus Property MCP Server

Fetch full Evlek listing detail

fetch
Read-only

Fetch the full detail of one Evlek listing by id (from search): title, description, GBP-normalized price, location, size, amenities. Same data as get_listing_detail — this fixed id-only form exists for the ChatGPT/OpenAI connector contract. Use when: an id from search is known. Don't use for: discovery — use search first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesEvlek listing id (UUID) from search

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
urlYes
textYes
titleYes
photosNo
metadataNo
coverImageUrlNo

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description aligns with that. Beyond annotations, it adds meaningful context: the data is identical to get_listing_detail and this fixed id-only form exists for the ChatGPT/OpenAI connector contract. This helps the agent understand why this tool exists and what to expect behaviorally.

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 sentences, each earning its place: the first states the purpose, the second explains the relationship to get_listing_detail and the connector contract, and the third provides explicit usage guidance. No filler or redundancy.

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?

For a single-parameter read-only tool with an output schema present, the description covers purpose, usage boundaries, relationship to a sibling, and the reason for its existence. There are no significant gaps, and the combination of annotations, schema, and descriptions is sufficient for the agent to select and invoke it correctly.

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 coverage is 100%—the only parameter 'id' is already described as 'Evlek listing id (UUID) from search.' The description repeats 'by id (from search)' but adds no extra syntax, format, or constraints beyond the schema, so the baseline of 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 starts with 'Fetch the full detail of one Evlek listing by id'—a specific verb and resource—and enumerates the included fields. It also distinguishes itself from the sibling get_listing_detail by explaining this is a fixed id-only form, so it is immediately clear how it differs.

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

Usage Guidelines5/5

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

Explicitly states 'Use when: an id from search is known' and 'Don't use for: discovery — use search first.' It also names the sibling get_listing_detail as providing the same data, effectively guiding the agent toward the correct alternative when applicable.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.9/5.0
Disambiguation2/5

Several tools have overlapping purposes: fetch and get_listing_detail both return full listing details (differing only by ID type), and search and search_listings both perform listing searches (differing by query style). The payment_plan tool is misleadingly named as it only converts currency, not plan payments.

Naming Consistency3/5

Most tools follow a verb_noun pattern (compare_cities, get_listing_detail, search_listings), but exceptions like fetch, search, payment_plan, and student_housing break the pattern. The mix is readable but not fully consistent.

Tool Count4/5

14 tools is within the typical well-scoped range, but the set includes redundant pairs (fetch/get_listing_detail and search/search_listings) that could be consolidated, making it feel slightly inflated for the actual functionality.

Completeness4/5

The server covers core discovery (search, get detail), aggregate pricing (index, district, city comparisons), and specialized calculations (yield, student housing). As a read-only property search server it is fairly complete, though it lacks explicit filter/list-by-type tools beyond search_listings.