Medium Risk

sigil_atap_register_ait

Registers an ATAP v0.1 AIT for a media-buying agent under the sigil:media_buyer:v1 profile. Sigil validates the capability set and constraints against the published profile, signs the AIT as the witness (OAI-2026-0000201), stores it, and returns the signed token. Sigil is the ATAP witness — there...

Part of the TunnelMind Data API server.

sigil_atap_register_ait 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_atap_register_ait 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_atap_register_ait 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_atap_register_ait": {
      "limits": [
        {
          "counter": "sigil_atap_register_ait_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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

Registers an ATAP v0.1 AIT for a media-buying agent under the sigil:media_buyer:v1 profile. Sigil validates the capability set and constraints against the published profile, signs the AIT as the witness (OAI-2026-0000201), stores it, and returns the signed token. Sigil is the ATAP witness — there is no kernel observer. See https://github.com/TunnelMind/atap-profiles.. 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_atap_register_ait? +

Register the TunnelMind Data API MCP server in PolicyLayer and add a rule for sigil_atap_register_ait: 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_atap_register_ait? +

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

Can I rate-limit sigil_atap_register_ait? +

Yes. Add a rate_limit block to the sigil_atap_register_ait 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_atap_register_ait completely? +

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

sigil_atap_register_ait 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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