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Darshan972

Scrapingdog MCP Server

by Darshan972

Google Jobs API

google_jobs

Scrape aggregated job listings from Google Jobs. Use search queries plus filters for country, language, work-from-home, and pagination to retrieve targeted results.

Instructions

Scrape job listings aggregated across Google Jobs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chipsNoExtra query filters from the Google Jobs UI.
ltypeNoWork-from-home filter.
queryYesJob search query.
domainNoCountry-specific Google domain (e.g. google.co.uk, google.co.in). (API default: google.com)
countryNoTwo-letter ISO country code to geo-target results (e.g. us, gb, in, de). (API default: us)
languageNoResult language, e.g. en_us. (API default: en_us)
next_page_tokenNoToken from a previous response to fetch the next page.
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only states 'Scrape job listings' without mentioning pagination, rate limits, output format, or any other behavioral traits. It adds no value beyond the basic action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no fluff, but it is under-specified for a tool with 7 parameters. It is concise but not appropriately informative, earning a middle score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations, no output schema, and the tool's complexity (7 params, pagination via next_page_token), the description is far too minimal. It doesn't explain response structure or pagination, leaving agents under-informed.

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 already provides full descriptions for all 7 parameters (100% coverage), so the baseline is 3. The description adds no additional parameter context, but the schema covers the load, making this acceptable.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Scrape' and a clear resource 'job listings aggregated across Google Jobs', clearly distinguishing it from generic search tools. However, it doesn't explicitly name sibling tools or alternatives, preventing a perfect score.

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

Usage Guidelines1/5

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

No guidance is given on when to use this tool vs. alternatives like google_search or web_scrape. The description lacks any context, exclusions, or alternative references, leaving the agent without selection criteria.

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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