Medium Risk

request_ai_comments

Ask the Frase Agent to review an article and create a batch of actionable AI suggestion comments (3–7 items). Follow up with list_content_comments to view them and apply_ai_comment to splice a suggestion into the draft.

Part of the Frase SEO server.

request_ai_comments can modify Frase SEO data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use request_ai_comments to create or modify resources in Frase SEO. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call request_ai_comments repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Frase SEO.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "request_ai_comments": {
      "limits": [
        {
          "counter": "request_ai_comments_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access request_ai_comments 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 request_ai_comments only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the request_ai_comments tool do? +

Ask the Frase Agent to review an article and create a batch of actionable AI suggestion comments (3–7 items). Follow up with list_content_comments to view them and apply_ai_comment to splice a suggestion into the draft.. It is categorised as a Write tool in the Frase SEO MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on request_ai_comments? +

Register the Frase SEO MCP server in PolicyLayer and add a rule for request_ai_comments: 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 Frase SEO. Nothing to install.

What risk level is request_ai_comments? +

request_ai_comments is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit request_ai_comments? +

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

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

request_ai_comments is provided by the Frase SEO MCP server (frase-io/newfrase). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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