Execute allowed shell commands (clasp, npm, git, dir). For clasp commands, run from apps-script folder.
AI agents invoke run_command to trigger actions in Revenue Engine MCP. 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.
This tool executes arbitrary shell commands with a whitelist of allowed executables. While restricted to specific command names, shell command execution remains a high-risk operation capable of triggering external processes, reading files, network operations, and other system-level effects that depend heavily on the arguments passed.
From the tool's definition Tool description explicitly states 'Execute allowed shell commands' and lists shell tools (clasp, npm, git, dir) that can be executed.
Attacks that exploit this kind of access
Execute allowed shell commands (clasp, npm, git, dir). For clasp commands, run from apps-script folder. It is categorised as a Execute tool in the Revenue Engine MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Revenue Engine MCP server in PolicyLayer and add a rule for run_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 Revenue Engine MCP. Nothing to install.
run_command 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_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 run_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.
run_command is provided by the Revenue Engine MCP server (promptishoperations/mcpspec). 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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