AI agents invoke tool_line_python_file 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.
The description is empty, so classification relies on the tool name and server context. The name 'tool_line_python_file' suggests operating on Python files, possibly lining/linting or executing them. Given sibling tools like 'tool_lint_python' already exist for linting, this may execute or process Python files line-by-line.
From the tool's definition Tool name 'tool_line_python_file' on a server whose sibling tools include terminal command execution, file operations, and process management. Description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access tool_line_python_file 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_line_python_file:
{
"version": "1",
"default": "deny",
"tools": {
"tool_line_python_file": {
"limits": [
{
"counter": "tool_line_python_file_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}tool_line_python_file 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.
Free to start. No card required.
tool_line_python_file. 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_line_python_file: 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_line_python_file 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_line_python_file 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_line_python_file. 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_line_python_file 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.
Free to start. No card required.
23 UltimateCoder tools catalogued and risk-classified — across an index of 43,000+ MCP servers.