google_jobs
Search Google Jobs. Returns normalized Google Jobs results parsed from public Google web responses.
This record as markdown: /tools/crawlora-mcp/google-jobs.md
What google_jobs does on Crawlora
AI agents call google_jobs to retrieve information from Crawlora without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
option | object | Yes | Google Jobs search payload |
Parameters from the server's own tool schema.
Why google_jobs is rated Low
This tool retrieves and returns job search results from public Google Jobs data. It performs a read-only query operation that retrieves information without creating, modifying, deleting, or executing any side effects. The severity is low because it only accesses publicly available information with minimal blast radius if misused.
From the tool's definition Tool name is 'google_jobs' and description states it 'Search[es] Google Jobs' and 'Returns normalized Google Jobs results parsed from public Google web responses.' The use of 'Search' and 'Returns results' indicates data retrieval with no modification or…
Attacks that exploit this kind of access
The rule that runs google_jobs safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crawlora, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For google_jobs, this is the rule to start with:
google_jobs is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Crawlora, apply this rule, and every google_jobs call is checked against it from then on.
Questions about google_jobs
Search Google Jobs. Returns normalized Google Jobs results parsed from public Google web responses. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.
google_jobs accepts 1 parameter: option. Required: option. The full parameter table on this page comes from the server's own tool schema.
Register the Crawlora MCP server in PolicyLayer and add a rule for google_jobs: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Crawlora. Nothing to install.
google_jobs is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the google_jobs rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for google_jobs. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
google_jobs is provided by the Crawlora MCP server (crawlora-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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