AI agents call get_my_profile to retrieve information from Hiring without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves personal profile information without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal blast radius—misuse would only expose the user's own data to the agent, not sensitive third-party information or system resources.
From the tool's definition Tool name 'get_my_profile' and description 'The human you' indicate retrieval of the user's own profile data with no modification or side effects.
Attacks that exploit this kind of access
The human you. It is categorised as a Read tool in the Hiring MCP Server, which means it retrieves data without modifying state.
Register the Hiring MCP server in PolicyLayer and add a rule for get_my_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 Hiring. Nothing to install.
get_my_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_my_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_my_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_my_profile is provided by the Hiring MCP server (meetvaghani12/hiring_mcp). 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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