Medium Risk

apply_decision_to_content

Apply a workflow Decision to a content item (POST /v3/accounts/{account_id}/users/{user_id}/content/{content_id}/decisions). Content-level decisions target one piece of user-generated content — typical for content_abuse abuse type (e.g. take-down a listing flagged as scam). Requires SIFT_ACCOUNT_ID.

How to control apply_decision_to_content ↓

What apply_decision_to_content does on Mcp Afip

AI agents use apply_decision_to_content to create or update resources in Mcp Afip — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Afip environment.

Medium Risk

Why apply_decision_to_content needs a policy

The tool modifies content state by applying decisions (e.g. take-downs, removals) to user-generated listings or items. While 'take-down' suggests potential destructiveness, the description frames this as applying reversible workflow decisions rather than irreversible deletion. However, in AFIP context (tax authority invoicing), take-down of fraudulent listings could have serious business consequences.

From the tool's definition 'Apply a workflow Decision to a content item' via POST; 'take-down a listing flagged as scam' indicates content modification/removal actions; 'content-level decisions' modify user-generated content state.

Documented attack patterns abuse exactly the kind of access apply_decision_to_content gives an agent:

How to control apply_decision_to_content

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Afip, and nothing reaches the server without passing your rules. This is the rule we recommend for apply_decision_to_content:

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

apply_decision_to_content 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.

  1. Create a free account and register Mcp Afip — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about apply_decision_to_content

What does the apply_decision_to_content tool do? +

Apply a workflow Decision to a content item (POST /v3/accounts/{account_id}/users/{user_id}/content/{content_id}/decisions). Content-level decisions target one piece of user-generated content — typical for content_abuse abuse type (e.g. take-down a listing flagged as scam). Requires SIFT_ACCOUNT_ID. It is categorised as a Write tool in the Mcp Afip MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on apply_decision_to_content? +

Register the Mcp Afip MCP server in PolicyLayer and add a rule for apply_decision_to_content: 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 Mcp Afip. Nothing to install.

What risk level is apply_decision_to_content? +

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

Can I rate-limit apply_decision_to_content? +

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

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

apply_decision_to_content is provided by the Mcp Afip MCP server (codespar/mcp-dev-latam). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Afip tool call.

Start from Mcp Afip, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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