AI agents invoke tool_run_command to trigger actions in UltimateCoder. 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.
A tool that runs arbitrary terminal commands is Execute-category because it triggers external operations whose effects depend entirely on the arguments provided. Given the server's emphasis on automation and the sibling tool 'tool_kill_process', this can execute any shell command including potentially dangerous operations (rm -rf, credential theft, lateral movement, etc.).
From the tool's definition Tool name 'tool_run_command' combined with server description stating 'run terminal commands' and context of sibling tools that perform file operations and process management.
Documented attack patterns abuse exactly the kind of access tool_run_command gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and UltimateCoder, and nothing reaches the server without passing your rules. This is the rule we recommend for tool_run_command:
{
"version": "1",
"default": "deny",
"tools": {
"tool_run_command": {
"limits": [
{
"counter": "tool_run_command_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}tool_run_command 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.
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tool_run_command. It is categorised as a Execute tool in the UltimateCoder MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the UltimateCoder MCP server in PolicyLayer and add a rule for tool_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 UltimateCoder. Nothing to install.
tool_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 tool_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 tool_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.
tool_run_command is provided by the UltimateCoder MCP server (m-ahmed-elbeskeri/ultimatecodermcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from UltimateCoder, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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23 UltimateCoder tools catalogued and risk-classified — across an index of 43,000+ MCP servers.