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Krisha.kz Kazakhstan Real Estate Listings

krisha-kz
Read-only

Pull live apartment and house listings straight from Krisha.kz — Kazakhstan's biggest real-estate classifieds portal — by deal type, property type and city. No login, no browser, no proxies. — $0.02/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queriesYesOne entry per search, format "deal:type:city". deal is `sale` or `rent`, type is `apartment` or `house`, city is a Krisha.kz city slug (e.g. `almaty`, `astana`, `shymkent`). Example: "sale:apartment:almaty".
max_itemsNoMaximum number of listing rows to return across ALL queries combined, in this run.
max_pagesNoHow many result pages to walk for each individual query before moving on.
maxConcurrencyNoHow many queries to run in parallel.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false, which the description aligns with. The description adds valuable behavioral context: no login, no browser, no proxies, and the $0.02/call cost with x402 payment. It doesn't contradict the annotations.

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?

The description is a single focused sentence that conveys purpose, scope, and constraints, followed by a compact note on pricing/payment. Every word earns its place with no redundancy.

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?

Given the schema fully documents parameters and annotations cover safety, the description adds essential operational context: live data, no auth/browser/proxies, and cost. However, with no output schema, it doesn't describe the return structure, which would further help the agent.

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?

The schema documents all four parameters with descriptions and examples, achieving 100% schema_description_coverage. The tool description only restates 'by deal type, property type and city' which is already in the schema, adding no additional semantic value beyond the baseline.

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 clearly states the action ('Pull live apartment and house listings') and the specific resource (Krisha.kz, Kazakhstan's real-estate classifieds portal), and explicitly names the filtering dimensions (deal type, property type, city). This distinguishes it from sibling real-estate tools like otodom-warsaw or rightmove-london.

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

Usage Guidelines4/5

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

It provides clear context for when to use the tool: it's for Kazakhstan listings, with 'No login, no browser, no proxies' and a price. It doesn't explicitly name alternatives or state when not to use it, but the Kazakhstan focus and portal name imply the intended use case.

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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TDQS

B3.4/5.0
Disambiguation3/5

Many tools are distinct by region/source (e.g., otodom-warsaw vs. imovirtual-lisbon), but there are overlapping categories: multiple real estate, job, SEC, and crypto tools. Watchers/alerts (job-alert, re-new-listing-alert, tender-alert) could be confused with their corresponding search tools, and token tools (live-price-oracle, token-launch-radar, rug-pull-scorer) have similar purposes.

Naming Consistency2/5

Names follow no consistent pattern: some are hyphenated source-location (emlakjet-istanbul), some are generic descriptors (job-alert, pricing_info uses underscore), and some are verbose phrases (official-gazette-regulatory-action-router). There is no consistent verb_noun or noun structure, making it hard to predict what a tool does from its name.

Tool Count2/5

With 36 tools, the server is in the 'too many' range (25+). The broad 'Market Data' theme partially justifies the count, but it feels bloated with many single-country listings and overlapping watchers that could be consolidated.

Completeness3/5

The domain is loosely defined as 'market data,' spanning real estate, jobs, tenders, SEC filings, crypto, and clinical trials. While it covers niche areas well, there are notable gaps: no general stock/ETF quotes, no forex/commodities data, and no cross-country aggregate search. The mix of scrapers and alerts leaves the surface feeling uneven.

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