AI agents invoke jobhound_resume to trigger actions in JobHound. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Resuming a daemon triggers external operations — the JobHound service will resume scanning, scoring, and autonomously applying to jobs on the user's behalf. This is an operational trigger that initiates external effects (API calls to Ashby, Greenhouse, Lever, etc.), placing it in the Execute category. Misuse could result in unintended job applications being submitted automatically.
From the tool's definition Resume the JobHound daemon
Attacks that exploit this kind of access
Resume the JobHound daemon. It is categorised as a Execute tool in the JobHound MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the JobHound MCP server in PolicyLayer and add a rule for jobhound_resume: 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_resume is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the jobhound_resume 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_resume. 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_resume 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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