AI agents call my_applications 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.
The tool appears to retrieve/list applications belonging to the authenticated candidate. This is a read operation with low blast radius. Confidence is reduced because the description is truncated and incomplete.
From the tool's definition Tool name 'my_applications' and partial description 'Returns the candidate' suggest retrieval of application data for the current user.
Attacks that exploit this kind of access
Returns the candidate. 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 my_applications: 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.
my_applications 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 my_applications 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 my_applications. 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.
my_applications 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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