Get complete candidate profile including bio, location, current role, skills, tags, compensation, and embedded lists of jobs/education/emails/phones. The
AI agents call loxo_get_candidate to retrieve information from Loxo MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though loxo_get_candidate only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Get complete candidate profile including bio, location, current role, skills, tags, compensation, and embedded lists of jobs/education/emails/phones. The. It is categorised as a Read tool in the Loxo MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Loxo MCP Server MCP server in PolicyLayer and add a rule for loxo_get_candidate: 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 Loxo MCP Server. Nothing to install.
loxo_get_candidate 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 loxo_get_candidate 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 loxo_get_candidate. 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.
loxo_get_candidate is provided by the Loxo MCP Server MCP server (tbensonwest/loxo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.