AI agents use replace_text to create or update resources in Awesome-MCP-Scaffold — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Awesome-MCP-Scaffold environment.
This tool falls under Write because it modifies data (text replacement) in a reversible manner. It is not Destructive since text replacement is typically undoable (previous versions can be recovered or operations can be reversed).
From the tool's definition Tool name 'replace_text' and description 'Replace text with regex support' indicate the tool modifies text content.
Documented attack patterns abuse exactly the kind of access replace_text gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Awesome-MCP-Scaffold, and nothing reaches the server without passing your rules. This is the rule we recommend for replace_text:
{
"version": "1",
"default": "deny",
"tools": {
"replace_text": {
"limits": [
{
"counter": "replace_text_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}replace_text 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 with regex support. It is categorised as a Write tool in the Awesome-MCP-Scaffold MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Awesome-MCP-Scaffold MCP server in PolicyLayer and add a rule for replace_text: 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 Awesome-MCP-Scaffold. Nothing to install.
replace_text 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 replace_text 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 replace_text. 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.
replace_text is provided by the Awesome-MCP-Scaffold MCP server (ww-ai-lab/awesome-mcp-scaffold). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Awesome-MCP-Scaffold, 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.
24 Awesome-MCP-Scaffold tools catalogued and risk-classified — across an index of 43,000+ MCP servers.