AI agents call get_employer_profile to retrieve information from Handshake without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves employer profile information from the Handshake platform without modifying or executing operations. The empty description lowers confidence slightly, but the naming convention and server context strongly suggest a simple data retrieval operation with no side effects.
From the tool's definition Tool named 'get_employer_profile' with empty description, but sibling tools include 'get_student_profile', 'get_job_details', and 'search_jobs'—all clearly Read operations.
Attacks that exploit this kind of access
get_employer_profile. It is categorised as a Read tool in the Handshake MCP Server, which means it retrieves data without modifying state.
Register the Handshake MCP server in PolicyLayer and add a rule for get_employer_profile: 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 Handshake. Nothing to install.
get_employer_profile 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_employer_profile 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_employer_profile. 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_employer_profile is provided by the Handshake MCP server (sudhxnva/handshake-mcp-server). 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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