Explain a candidate RouterOS CLI command using rosetta
AI agents call routeros_explain_command to retrieve information from Rosetta without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and explains existing RouterOS command documentation without executing commands, modifying systems, or causing side effects. It is a straightforward informational lookup tool, analogous to consulting a manual or reference guide. The high confidence reflects clear evidence of read-only documentation retrieval with no execution or modification capabilities.
From the tool's definition Tool name 'routeros_explain_command' and description 'Explain a candidate RouterOS CLI command' indicates retrieval of documentation/reference material.
Documented attack patterns abuse exactly the kind of access routeros_explain_command gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Rosetta, and nothing reaches the server without passing your rules. This is the rule we recommend for routeros_explain_command:
{
"version": "1",
"default": "deny",
"tools": {
"routeros_explain_command": {}
}
}routeros_explain_command is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Explain a candidate RouterOS CLI command using rosetta. It is categorised as a Read tool in the Rosetta MCP Server, which means it retrieves data without modifying state.
Register the Rosetta MCP server in PolicyLayer and add a rule for routeros_explain_command: 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 Rosetta. Nothing to install.
routeros_explain_command 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 routeros_explain_command 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 routeros_explain_command. 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.
routeros_explain_command is provided by the Rosetta MCP server (tikoci/rosetta). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Rosetta, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
14 Rosetta tools catalogued and risk-classified — across an index of 43,000+ MCP servers.