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jobs.ch Swiss Jobs Scraper

jobs-ch-swiss
Read-only

Search jobs.ch (Switzerland) by keyword and get public job listings: title, company, location, employment type, posted date, URL. — $0.02/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsYesJob search terms, one per jobs.ch search (e.g. "marketing", "software engineer"). Runtime cap: 10.
locationNoOptional jobs.ch location filter (city name or postal code), applied to every keyword. Leave empty to search all of Switzerland.
max_itemsNoHow many job rows to collect per keyword, at most.
max_pagesNoHow many result pages to walk per keyword, at most (~20 jobs/page on jobs.ch).
fetch_full_descriptionNoVisit each job's detail page for the real description text and a more precise location (slower — one extra request per job). When off, description is the short teaser shown on the search results page.

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint true and destructiveHint false, and the description adds that listings are public plus cost/payment information. However, it does not disclose pagination behavior, rate limits, or data freshness, though annotations cover the key safety aspects.

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, well-structured sentence that covers purpose, scope, and output fields, followed by a succinct pricing note. Every word earns its place with no fluff or 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 rich parameter schema and annotations, the description adequately covers tool purpose, scope, output fields, and cost. It does not describe rate limits or failure modes, but no output schema exists, so listing the returned fields is especially helpful.

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 detailed explanations for each parameter (e.g., max_pages, fetch_full_description). The description adds no parameter-level detail 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 uses a specific verb ('Search') and names the exact resource ('jobs.ch (Switzerland)'), listing concrete output fields (title, company, location, employment type, posted date, URL). This clearly distinguishes it from sibling tools like job-postings-aggregator or xing-jobs.

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?

The description implies use when searching Swiss jobs on jobs.ch but provides no explicit guidance about when to choose this over alternatives (e.g., job-postings-aggregator, xing-jobs) or when not to use it. No exclusions or alternative tool references are given.

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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