Medium Risk

manage_webhooks

Register, list, or delete webhook subscriptions for agent events (payment_received, payment_sent, job_completed, loan_disbursed, loan_repaid).

Accepts URL/endpoint input (webhook_url)

Part of the Ai Agent Bank MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

ai-agent-bank-mcp-server Write Risk 2/5

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. Intercept'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.

io-github-wirternow-agent-bank.yaml
tools:
  manage_webhooks:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Ai Agent Bank policy for all 14 tools.

Tool Name manage_webhooks
Category Write
Risk Level Medium

View all 14 tools →

Agents calling write-class tools like manage_webhooks have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the manage_webhooks tool do? +

Register, list, or delete webhook subscriptions for agent events (payment_received, payment_sent, job_completed, loan_disbursed, loan_repaid).. 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? +

Add a rule in your Intercept YAML policy under the tools section for manage_webhooks. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Ai Agent Bank MCP server.

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 Intercept 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 Intercept 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 (ai-agent-bank-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Ai Agent Bank

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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