Replace text in a file using exact string matching. Use paths relative to ${WORKSPACE}. Read the file first to get exact text to match.
AI agents use file_edit to create or update resources in Docker MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Docker MCP Server environment.
file_edit modifies file contents reversibly through text replacement, making it a Write operation rather than Destructive (no deletion or data loss). However, severity is high because: (1) it operates on workspace files which may contain critical configuration or source code, (2) malicious text replacement could corrupt application logic or configs, (3) the tool is part of a Docker container execution environment…
From the tool's definition Tool description states 'Replace text in a file' - this is a modification operation. The mechanism uses 'exact string matching' to perform targeted edits on file contents.
Documented attack patterns abuse exactly the kind of access file_edit gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Docker MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for file_edit:
{
"version": "1",
"default": "deny",
"tools": {
"file_edit": {
"limits": [
{
"counter": "file_edit_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} file_edit 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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Replace text in a file using exact string matching. Use paths relative to ${WORKSPACE}. Read the file first to get exact text to match. It is categorised as a Write tool in the Docker MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Docker MCP Server MCP server in PolicyLayer and add a rule for file_edit: 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 Docker MCP Server. Nothing to install.
file_edit 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 file_edit 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 file_edit. 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.
file_edit is provided by the Docker MCP Server MCP server (kenforthewin/docker-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Docker MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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9 Docker MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.