Browse active agent jobs.
AI agents call browse_jobs to retrieve information from MonetizeAgent without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or lists job data without side effects. It matches the Read category pattern (search, list, get, fetch). The blast radius of misuse is minimal—an AI agent browsing jobs cannot create financial obligations, execute commands, or modify data. Low severity is appropriate for passive data retrieval.
From the tool's definition Tool name is 'browse_jobs' and description states 'Browse active agent jobs' — a query operation with no modification, deletion, or execution of external code.
Attacks that exploit this kind of access
Browse active agent jobs. It is categorised as a Read tool in the MonetizeAgent MCP Server, which means it retrieves data without modifying state.
Register the MonetizeAgent MCP server in PolicyLayer and add a rule for browse_jobs: 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 MonetizeAgent. Nothing to install.
browse_jobs 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 browse_jobs 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 browse_jobs. 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.
browse_jobs is provided by the MonetizeAgent MCP server (monetizeyouragent-fun/mya). 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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