Medium Risk

create_outgoing_webhook

Create an outgoing webhook for an app.

Risk signalsHandles credentials or secrets (secret) · Accepts URL/endpoint input (url)

Part of the Bitrise server.

create_outgoing_webhook can modify Bitrise 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 create_outgoing_webhook to create or modify resources in Bitrise. 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 create_outgoing_webhook 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 Bitrise.

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

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

See the full Bitrise policy for all 81 tools.

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

Create an outgoing webhook for an app.. It is categorised as a Write tool in the Bitrise MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_outgoing_webhook? +

Register the Bitrise MCP server in PolicyLayer and add a rule for create_outgoing_webhook: 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 Bitrise. Nothing to install.

What risk level is create_outgoing_webhook? +

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

Can I rate-limit create_outgoing_webhook? +

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

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

create_outgoing_webhook is provided by the Bitrise MCP server (https://mcp.bitrise.io/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Bitrise tool call.

Deterministic rules across all 81 Bitrise tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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