Medium Risk

sigil_ads_txt_history

Returns a publisher's ads.txt change log — one entry per crawl in which its authorized-seller set changed. A publisher quietly adding a reseller line is a real fraud signal; this is how a buyer audits supply over time. Inputs: - domain (path, required): publisher domain. - since (query, optional)...

Part of the TunnelMind Data API server.

sigil_ads_txt_history can modify TunnelMind Data API 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 sigil_ads_txt_history to create or modify resources in TunnelMind Data API. 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 sigil_ads_txt_history 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 TunnelMind Data API.

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

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

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These attack patterns abuse exactly the kind of access sigil_ads_txt_history 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 sigil_ads_txt_history 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 sigil_ads_txt_history tool do? +

Returns a publisher's ads.txt change log — one entry per crawl in which its authorized-seller set changed. A publisher quietly adding a reseller line is a real fraud signal; this is how a buyer audits supply over time. Inputs: - domain (path, required): publisher domain. - since (query, optional): ISO date / date-time lower bound on observed_at. - limit (query, optional): max entries — default 50, max 200. Returns changes[], newest first — each with observed_at, added_count, removed_count, additions, removals, directive_changes.. It is categorised as a Write tool in the TunnelMind Data API MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on sigil_ads_txt_history? +

Register the TunnelMind Data API MCP server in PolicyLayer and add a rule for sigil_ads_txt_history: 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 TunnelMind Data API. Nothing to install.

What risk level is sigil_ads_txt_history? +

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

Can I rate-limit sigil_ads_txt_history? +

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

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

sigil_ads_txt_history is provided by the TunnelMind Data API MCP server (https://mcp-data.tunnelmind.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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