AI agents call jobhound_get 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 retrieves and queries job information and associated metadata (cover letter). It performs no write, deletion, execution, or financial operations. The action is informational only, making it a Read operation with low severity—retrieving job data poses minimal risk even if an AI agent misuses it.
From the tool's definition Tool name 'jobhound_get' and description 'Get full details for a job including cover letter if applied' indicate pure data retrieval with no mutation, creation, deletion, or side effects.
Attacks that exploit this kind of access
Get full details for a job including cover letter if applied. 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_get: 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_get 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_get 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_get. 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_get 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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