Medium Risk

update_task_webhook

Update webhook settings for a task. Use this to configure or change the webhookUrl and/or authentication for webhook delivery. If your webhook endpoint requires authentication (e.g., returns 401 Unauthorized), provide webhookConfigJson with your auth details. Only provided fields are updated. Req...

Risk signalsHandles credentials or secrets (apiKey)

Part of the Molt2Meet server.

update_task_webhook can modify Molt2Meet 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 update_task_webhook to create or modify resources in Molt2Meet. 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 update_task_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 Molt2Meet.

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

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

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These attack patterns abuse exactly the kind of access update_task_webhook gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so update_task_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 update_task_webhook tool do? +

Update webhook settings for a task. Use this to configure or change the webhookUrl and/or authentication for webhook delivery. If your webhook endpoint requires authentication (e.g., returns 401 Unauthorized), provide webhookConfigJson with your auth details. Only provided fields are updated. Requires authentication.. It is categorised as a Write tool in the Molt2Meet MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_task_webhook? +

Register the Molt2Meet MCP server in PolicyLayer and add a rule for update_task_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 Molt2Meet. Nothing to install.

What risk level is update_task_webhook? +

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

Can I rate-limit update_task_webhook? +

Yes. Add a rate_limit block to the update_task_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 update_task_webhook completely? +

Set action: deny in the PolicyLayer policy for update_task_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 update_task_webhook? +

update_task_webhook is provided by the Molt2Meet MCP server (https://molt.molt2meet.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Molt2Meet tool call.

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