List all open job postings.
AI agents call lever_list_open_roles to retrieve information from Lever ATS 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 returns data about open job postings without creating, modifying, deleting, or executing any operations. It is a straightforward read operation that retrieves existing information from the Lever ATS system.
From the tool's definition Tool name 'lever_list_open_roles' and description 'List all open job postings' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
List all open job postings. It is categorised as a Read tool in the Lever ATS MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Lever ATS MCP Server MCP server in PolicyLayer and add a rule for lever_list_open_roles: 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 Lever ATS MCP Server. Nothing to install.
lever_list_open_roles 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 lever_list_open_roles 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 lever_list_open_roles. 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.
lever_list_open_roles is provided by the Lever ATS MCP Server MCP server (the-sid-dani/lever-mcp-integration). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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