AI agents call when to retrieve information from Rr without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about the current execution position in a reverse debugging session. It is purely informational with no side effects—no code execution, data modification, or destructive operations. This is a classic Read operation, analogous to querying a debugger for the current program counter or instruction pointer.
From the tool's definition Tool name 'when' and description 'Get current execution position as an rr event' indicate a query operation that retrieves the current state of a debugging session without modifying, executing, or destroying anything.
Attacks that exploit this kind of access
Get current execution position as an rr event. It is categorised as a Read tool in the Rr MCP Server, which means it retrieves data without modifying state.
Register the Rr MCP server in PolicyLayer and add a rule for when: 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 Rr. Nothing to install.
when 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 when 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 when. 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.
when is provided by the Rr MCP server (jnjaeschke/rr-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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