Medium Risk

manage_webhooks

Register, list, or delete webhook subscriptions for agent events. Requires api_key for register/delete.

Risk signalsHandles credentials or secrets (api_key) · Accepts URL/endpoint input (webhook_url)

Part of the Ai Agent Bank server.

manage_webhooks can modify Ai Agent Bank 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 manage_webhooks to create or modify resources in Ai Agent Bank. 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 manage_webhooks 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 Ai Agent Bank.

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

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

See the full Ai Agent Bank policy for all 43 tools.

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

Register, list, or delete webhook subscriptions for agent events. Requires api_key for register/delete.. It is categorised as a Write tool in the Ai Agent Bank MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on manage_webhooks? +

Register the Ai Agent Bank MCP server in PolicyLayer and add a rule for manage_webhooks: 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 Ai Agent Bank. Nothing to install.

What risk level is manage_webhooks? +

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

Can I rate-limit manage_webhooks? +

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

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

manage_webhooks is provided by the Ai Agent Bank MCP server (https://tdueqhfxyojmjgactdyc.supabase.co/functions/v1/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ai Agent Bank tool call.

Deterministic rules across all 43 Ai Agent Bank tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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