This record as markdown: /tools/ra1nyxin-allcanuse-mcp/run-shell.md
What run_shell does on Allcanuse
AI agents invoke run_shell to trigger actions in Allcanuse. 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_shell is rated High
Shell execution is the highest-risk operation available to an AI agent outside of financial transactions. Any shell command can be run, including data destruction, system compromise, credential theft, lateral movement, or denial of service. Blast radius is unlimited and depends entirely on system permissions and agent behavior.
From the tool's definition Tool name 'run_shell' directly indicates shell command execution capability. Server description confirms 'command execution' among its capabilities. No description provided for the tool itself, but the name unambiguously denotes arbitrary code execution.
Attacks that exploit this kind of access
The rule that runs run_shell safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Allcanuse, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_shell, this is the rule to start with:
run_shell 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 Allcanuse, apply this rule, and every run_shell call is checked against it from then on.
Questions about run_shell
run_shell is a execute tool on the Allcanuse MCP server. It is categorised as a Execute tool in the Allcanuse MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Allcanuse MCP server in PolicyLayer and add a rule for run_shell: 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 Allcanuse. Nothing to install.
run_shell 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_shell 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_shell. 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_shell is provided by the Allcanuse MCP server (ra1nyxin/allcanuse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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