Get job recommendations from LinkedIn.
AI agents call get_recommended_jobs to retrieve information from LinkedIn Model Context Protocol (MCP) Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries LinkedIn's recommendation engine to retrieve job suggestions for the user. It has no side effects on data (no creation, modification, or deletion) and does not execute code or trigger financial transactions. The blast radius of misuse is minimal - an agent could only retrieve potentially unwanted job recommendations, which causes no harm to the user's LinkedIn account or data integrity.
From the tool's definition Tool is described as "Get job recommendations from LinkedIn" - a retrieval operation that returns data without modifying, deleting, or executing external actions. The verb 'get' and 'recommendations' indicate a read-only query operation.
Documented attack patterns abuse exactly the kind of access get_recommended_jobs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and LinkedIn Model Context Protocol (MCP) Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_recommended_jobs:
{
"version": "1",
"default": "deny",
"tools": {
"get_recommended_jobs": {}
}
}get_recommended_jobs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get job recommendations from LinkedIn. It is categorised as a Read tool in the LinkedIn Model Context Protocol (MCP) Server MCP Server, which means it retrieves data without modifying state.
Register the LinkedIn Model Context Protocol (MCP) Server MCP server in PolicyLayer and add a rule for get_recommended_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 LinkedIn Model Context Protocol (MCP) Server. Nothing to install.
get_recommended_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 get_recommended_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 get_recommended_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.
get_recommended_jobs is provided by the LinkedIn Model Context Protocol (MCP) Server MCP server (rayyan9477/linkedin_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from LinkedIn Model Context Protocol (MCP) Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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13 LinkedIn Model Context Protocol (MCP) Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.