City24.lv - Real Estate marketplace
Server Details
Live Latvia real estate listings with search, geo filters, and property metadata.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.2/5 across 1 of 1 tools scored.
With only one tool, there is no possibility of confusing it with others. The tool's purpose is clearly described.
The single tool name follows a clear verb_noun pattern ('search-listings'), which is consistent and readable.
A single tool feels thin for a real estate marketplace, but the search tool is comprehensive in its filtering capabilities. It is within the borderline range.
The server only supports searching listings, with no way to retrieve full details for a specific listing, manage favorites, or contact sellers. This is a severe gap for a real estate marketplace.
Available Tools
1 toolsearch-listingsAInspect
Search real estate listings by property type, transaction type, price range, area, floor, lot size, and location. Use locationName for the most specific known location (e.g., street, district, or city). Some filters apply only to certain property types: floor filters are for apartments, and lot area filters are for houses or land.
| Name | Required | Description | Default |
|---|---|---|---|
| areaMax | No | Maximum area in square meters | |
| areaMin | No | Minimum area in square meters | |
| floorMax | No | Maximum floor | |
| floorMin | No | Minimum floor | |
| priceMax | No | Maximum price | |
| priceMin | No | Minimum price | |
| unitType | Yes | The type of property | |
| roomCount | No | Number of rooms | |
| lotAreaMax | No | Maximum lot area in square meters | |
| lotAreaMin | No | Minimum lot area in square meters | |
| projectType | No | Building/project type (series) | |
| locationName | No | Target location at the lowest available level (e.g., street, district, or city) | |
| transactionType | Yes | The type of transaction |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of behavioral disclosure. It adds useful detail about filter applicability, but it does not mention return format, pagination, sorting, authentication, or any side effects. For a search tool, the core behavior is implied, but important operational traits like result limits or default ordering are absent, leaving a moderate transparency gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences and efficiently front-loads the core purpose before providing targeted usage hints. Every word earns its place; there is no fluff or redundancy. The structure clearly separates what the tool does from how to use specific parameters.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 13 parameters and no output schema, the description does a solid job of covering key usage nuance, particularly filter-to-property-type constraints. However, it omits details about result behavior (e.g., pagination, ordering, default limits) that an agent might need to set expectations. It is complete enough for a straightforward search but not fully exhaustive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema covers 100% of parameters with descriptions, so the baseline is 3. The description adds meaningful semantics beyond the schema by explaining how to use locationName (choose the most specific known location) and which property types support floor vs. lot area filters. This extra guidance enhances parameter understanding, so a 4 is warranted.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'Search real estate listings by property type, transaction type, price range, area, floor, lot size, and location.' It uses a specific verb ('Search') and a specific resource ('real estate listings'), and enumerates the main filter dimensions, making the purpose unmistakable even without sibling comparisons.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides practical usage guidance, notably: 'Use locationName for the most specific known location (e.g., street, district, or city)' and explains which filters apply to which property types ('floor filters are for apartments, and lot area filters are for houses or land'). It lacks explicit alternatives because no sibling tools are provided, but it clearly indicates when and how to use the tool and its filters.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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