AI agents invoke reverse_finish to trigger actions in Rr. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The tool executes a debugging operation that changes the execution state of a rr debugging session (reverse execution to function entry). While it does not create, modify, or destroy persistent data, it triggers an external operation (reverse debugging) whose effects depend on the current function context. This fits Execute category as it runs a debugger command that alters session state.
From the tool's definition Tool runs backward execution to a specific point ('Run backward to the point where the current function was called'). This is a command that triggers a debugger operation with side effects on session state and execution position.
Attacks that exploit this kind of access
Run backward to the point where the current function was called (function entry). It is categorised as a Execute tool in the Rr MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Rr MCP server in PolicyLayer and add a rule for reverse_finish: 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.
reverse_finish is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the reverse_finish 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 reverse_finish. 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.
reverse_finish 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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