Medium Risk

bighub_webhooks_create

Create a webhook endpoint.

Risk signalsAccepts raw HTML/template content (payload)

Part of the BIGHUB server.

bighub_webhooks_create can modify BIGHUB 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 bighub_webhooks_create to create or modify resources in BIGHUB. 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 bighub_webhooks_create 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 BIGHUB.

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

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

See the full BIGHUB policy for all 125 tools.

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

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

How do I enforce a policy on bighub_webhooks_create? +

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

What risk level is bighub_webhooks_create? +

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

Can I rate-limit bighub_webhooks_create? +

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

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

bighub_webhooks_create is provided by the BIGHUB MCP server (@bighub/bighub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every BIGHUB tool call.

Deterministic rules across all 125 BIGHUB tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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