Things that need your attention: overdue maintenance, neglected contacts, refills due, contact follow-ups owed, expiring documents, overdue medications. Returns a ranked list. Cron-friendly. Client decides how to surface results.
AI agents call proactive_check to retrieve information from Personal Brain without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and surfaces information from a personal database to alert the user to items requiring action. It performs no write, deletion, code execution, or financial operations. While the items flagged (medications, documents) are sensitive, the tool itself only reads and presents data; it does not modify, delete, or execute actions.
From the tool's definition Tool 'proactive_check' returns a ranked list of items needing attention (overdue maintenance, neglected contacts, refills, follow-ups, expiring documents, medications).
Attacks that exploit this kind of access
Things that need your attention: overdue maintenance, neglected contacts, refills due, contact follow-ups owed, expiring documents, overdue medications. Returns a ranked list. Cron-friendly. Client decides how to surface results. It is categorised as a Read tool in the Personal Brain MCP Server, which means it retrieves data without modifying state.
Register the Personal Brain MCP server in PolicyLayer and add a rule for proactive_check: 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 Personal Brain. Nothing to install.
proactive_check 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 proactive_check 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 proactive_check. 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.
proactive_check is provided by the Personal Brain MCP server (phantomts/personal-brain-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
proactive_check is one line of Personal Brain's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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