This record as markdown: /tools/ahmeth4n-renef-mcp/run.md
What run does on Renef
AI agents invoke run to trigger actions in Renef. 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.
Why run is rated High
This tool executes arbitrary CLI commands on an Android device with full instrumentation/hooking capabilities enabled. An AI agent could use this to install malware, extract sensitive data, disable security (via adb_selinux_disable), manipulate running processes, or modify system state. The blast radius is device-level system compromise.
From the tool's definition Tool description states it 'Sends a command to the CLI and returns the output.' Combined with server capabilities for 'dynamic instrumentation and reverse engineering' including 'native hooking, Java interception, and memory manipulation,' this is clearly an…
Attacks that exploit this kind of access
The rule that runs run safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Renef, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run, this is the rule to start with:
run stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Renef, apply this rule, and every run call is checked against it from then on.
Questions about run
Sends a command to the CLI and returns the output. It is categorised as a Execute tool in the Renef MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Renef MCP server in PolicyLayer and add a rule for run: 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 Renef. Nothing to install.
run 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 run 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 run. 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.
run is provided by the Renef MCP server (ahmeth4n/renef-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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