Critical Risk →

clean_text

Remove HTML tags, fix encoding issues, normalize whitespace, and extract clean text from messy input. Perfect for agents processing scraped web content or user-submitted text.

Part of the Structured Data Validator server.

clean_text can permanently delete data in Structured Data Validator, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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Free to start. No card required.

AI agents may call clean_text to permanently remove or destroy resources in Structured Data Validator. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.

Without a policy, an AI agent could call clean_text in a loop, permanently destroying resources in Structured Data Validator. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.

Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "clean_text"
  ]
}

See the full Structured Data Validator policy for all 5 tools.

Get this rule live on your own Structured Data Validator server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access clean_text gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so clean_text only ever does what you allow.

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Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.

What does the clean_text tool do? +

Remove HTML tags, fix encoding issues, normalize whitespace, and extract clean text from messy input. Perfect for agents processing scraped web content or user-submitted text.. It is categorised as a Destructive tool in the Structured Data Validator MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on clean_text? +

Register the Structured Data Validator MCP server in PolicyLayer and add a rule for clean_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 Structured Data Validator. Nothing to install.

What risk level is clean_text? +

clean_text is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit clean_text? +

Yes. Add a rate_limit block to the clean_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.

How do I block clean_text completely? +

Set action: deny in the PolicyLayer policy for clean_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.

What MCP server provides clean_text? +

clean_text is provided by the Structured Data Validator MCP server (@agenson-horrowitz/structured-data-validator-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Structured Data Validator tool call.

Deterministic rules across all 5 Structured Data Validator tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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