AI agents use patch_lines to create or update resources in Allcanuse — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Allcanuse environment.
Based on the tool name 'patch_lines' and the server's documented purpose of providing 'file editing' capabilities, this tool most likely creates or modifies file content reversibly—a Write operation. While patching could theoretically be destructive if it overwrites without backup, the term 'patch' typically implies targeted, reversible modifications.
From the tool's definition Tool name 'patch_lines' suggests modifying text content line-by-line, consistent with the server's stated capability of 'file editing'. No description provided.
Documented attack patterns abuse exactly the kind of access patch_lines gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Allcanuse, and nothing reaches the server without passing your rules. This is the rule we recommend for patch_lines:
{
"version": "1",
"default": "deny",
"tools": {
"patch_lines": {
"limits": [
{
"counter": "patch_lines_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} patch_lines stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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patch_lines. It is categorised as a Write tool in the Allcanuse MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Allcanuse MCP server in PolicyLayer and add a rule for patch_lines: 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.
patch_lines is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the patch_lines 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 patch_lines. 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.
patch_lines 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.
Start from Allcanuse, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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130 Allcanuse tools catalogued and risk-classified — across an index of 43,000+ MCP servers.