AI agents call get_logs to retrieve information from Console without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves existing log data without side effects. It enables diagnosis and debugging by passively accessing system logs, with no capability to modify, delete, or execute operations. The low severity reflects minimal blast radius—an AI agent requesting logs poses negligible risk compared to tools that execute commands or modify system state.
From the tool's definition Tool retrieves 'recent logs from macOS system' with 'Get' prefix and is explicitly used 'for debugging macOS apps'. No modification, deletion, or execution capabilities indicated.
Attacks that exploit this kind of access
Get recent logs from macOS system. Use for debugging macOS apps. It is categorised as a Read tool in the Console MCP Server, which means it retrieves data without modifying state.
Register the Console MCP server in PolicyLayer and add a rule for get_logs: 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 Console. Nothing to install.
get_logs 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 get_logs 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 get_logs. 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.
get_logs is provided by the Console MCP server (rohithgoud30/console-mcp). 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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