AI agents call get_applied_jobs to retrieve information from Shortlist 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 and retrieves historical data about job applications the user has submitted. It performs a read-only operation with no capability to modify, delete, or execute actions. The incomplete description ('jobs you') further confirms it is a simple data retrieval endpoint. No risk of unintended data modification or external action execution.
From the tool's definition Tool name 'get_applied_jobs' and description 'View your application history — jobs you' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_applied_jobs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Shortlist MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_applied_jobs:
{
"version": "1",
"default": "deny",
"tools": {
"get_applied_jobs": {}
}
} get_applied_jobs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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View your application history — jobs you. It is categorised as a Read tool in the Shortlist MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Shortlist MCP Server MCP server in PolicyLayer and add a rule for get_applied_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 Shortlist MCP Server. Nothing to install.
get_applied_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_applied_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_applied_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_applied_jobs is provided by the Shortlist MCP Server MCP server (mls-tech-inc/shortlistjobs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Shortlist 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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32 Shortlist MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.