AI agents call jobhound_status to retrieve information from JobHound 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 aggregated information (job counts categorized by status) without creating, modifying, deleting, or executing any actions. It is purely informational and read-only in nature, presenting the lowest risk category.
From the tool's definition Tool description states it provides 'Summary of JobHound activity: job counts by status' - a retrieval and reporting function with no data modification or external side effects.
Attacks that exploit this kind of access
Summary of JobHound activity: job counts by status. It is categorised as a Read tool in the JobHound MCP Server, which means it retrieves data without modifying state.
Register the JobHound MCP server in PolicyLayer and add a rule for jobhound_status: 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 JobHound. Nothing to install.
jobhound_status 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 jobhound_status 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 jobhound_status. 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.
jobhound_status is provided by the JobHound MCP server (null-phnix/jobhound). 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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