Medium Risk

ibmcloud_api

View or set IBM Cloud API endpoint

Risk signalsAccepts URL/endpoint input (endpoint)

Part of the Ibmcloud server.

ibmcloud_api can modify Ibmcloud 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 ibmcloud_api to create or modify resources in Ibmcloud. 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 ibmcloud_api 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 Ibmcloud.

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

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

See the full Ibmcloud policy for all 88 tools.

Get this rule live on your own Ibmcloud server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 88 tools →

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

View or set IBM Cloud API endpoint. It is categorised as a Write tool in the Ibmcloud MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ibmcloud_api? +

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

What risk level is ibmcloud_api? +

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

Can I rate-limit ibmcloud_api? +

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

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

ibmcloud_api is provided by the Ibmcloud MCP server (ibmcloud-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 Ibmcloud tool call.

Deterministic rules across all 88 Ibmcloud tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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