Low Risk

validate_html

Pre-flight check on html / css / js BEFORE writing via update_html. Returns { ok, errors, warnings, parsed } where parsed has byte counts per field and dropped (true if the sanitizer would strip anything from html). Errors cover cap breaches (html_too_large, css_too_large, js_too_large, total_too...

Risk signalsAccepts raw HTML/template content (html) · Accepts freeform code/query input (js)

Part of the Dock server.

validate_html is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call validate_html to retrieve information from Dock without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though validate_html only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "validate_html": {}
  }
}

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

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the validate_html tool do? +

Pre-flight check on html / css / js BEFORE writing via update_html. Returns { ok, errors, warnings, parsed } where parsed has byte counts per field and dropped (true if the sanitizer would strip anything from html). Errors cover cap breaches (html_too_large, css_too_large, js_too_large, total_too_large) and sanitizer rejection (html_sanitize_rejected, html_sanitize_empty). At v2 the sanitizer accepts <script> and <link> — those used to be smells but are now first-class agent markup; isolation lives in the opaque render iframe, not the sanitizer. The smells still stripped: inline on*= attributes, javascript:/data:text/html URIs, <meta http-equiv> tags. NEVER writes anything. Use when iterating on a payload so you don't burn a write on something the surface would reject.. It is categorised as a Read tool in the Dock MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_html? +

Register the Dock MCP server in PolicyLayer and add a rule for validate_html: 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 Dock. Nothing to install.

What risk level is validate_html? +

validate_html is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit validate_html? +

Yes. Add a rate_limit block to the validate_html 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 validate_html completely? +

Set action: deny in the PolicyLayer policy for validate_html. 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 validate_html? +

validate_html is provided by the Dock MCP server (https://trydock.ai/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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