This record as markdown: /tools/aapanel-mcp/file-write.md
What file_write does on Aapanel
AI agents use file_write to create or update resources in Aapanel, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Aapanel environment.
Why file_write is rated Medium
This tool creates or modifies file contents on a server, which is a reversible write operation. Severity is high because unauthorized file writes on a server can compromise application behavior, inject malicious code into web applications, overwrite configuration files, or cause service disruption—all without being destructive (files can theoretically be recovered or reverted).
From the tool's definition Tool name 'file_write' and description explicitly states 'Write content to a file on the server.' This is a clear data modification operation.
Attacks that exploit this kind of access
The rule that runs file_write safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aapanel, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For file_write, this is the rule to start with:
file_write 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Aapanel, apply this rule, and every file_write call is checked against it from then on.
Questions about file_write
Write content to a file on the server. It is categorised as a Write tool in the Aapanel MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Aapanel MCP server in PolicyLayer and add a rule for file_write: 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 Aapanel. Nothing to install.
file_write 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_write 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_write. 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_write is provided by the Aapanel MCP server (nipunanirmal/aapanel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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