Skip to main content
Glama

Chotot Vietnam Listings Scraper

chotot-listings
Read-only

Pull live classified ad listings (real estate, vehicles, electronics, jobs and more) straight from Chotot's own public JSON API by region and category. No login, no browser, no proxies. — $0.02/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesOne entry per query, format `region_v2` or `region_v2:cg`. `region_v2` is Chotot's location code (e.g. 13000 = Ho Chi Minh City, 12000 = Hanoi) and `cg` is the category code (e.g. 1000 = real estate, 2000 = vehicles). Codes are visible in the query string of any chotot.com search-results URL. Omit `cg` to pull all categories for that region.
maxConcurrencyNoHow many queries to run in parallel.

TDQS

A4/5.0
Behavior4/5

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

Annotations already mark the tool as read-only, open-world, and non-destructive. The description adds useful behavioral context: it uses a public JSON API, requires no login/browser/proxies, and has a cost of $0.02/call. This goes beyond the annotations, though it doesn't cover rate limits or error handling.

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?

Two sentences, front-loaded with the core action and resource. Both sentences add value: the first explains function and source, the second covers constraints and cost. No fluff.

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 good annotations (readOnly, non-destructive) and high schema coverage, the description is largely complete. It explains the source, auth requirements, cost, and input format. However, with no output schema, it doesn't describe the return structure or pagination behavior, so it's not fully complete.

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% for both parameters, so the description doesn't need to add much. The description mentions 'by region and category,' which aligns with the `items` parameter but doesn't add any detail beyond the schema's thorough format explanation. Baseline 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 uses a specific verb ('Pull') and identifies the exact resource ('live classified ad listings ... from Chotot's own public JSON API by region and category'). It clearly differentiates from sibling scrapers by naming Chotot Vietnam and listing example categories.

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?

No explicit when-to-use or alternatives are provided; however, the description implies usage for Chotot Vietnam listings and highlights convenience ('No login, no browser, no proxies'). It doesn't mention exclusions or compare to other scraper tools, so it's only implied.

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

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.

Resources