Medium Risk

ibmcloud_resource_service_instance_update

Update a service instance

Part of the Ibmcloud server.

ibmcloud_resource_service_instance_update 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_resource_service_instance_update 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_resource_service_instance_update 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_resource_service_instance_update": {
      "limits": [
        {
          "counter": "ibmcloud_resource_service_instance_update_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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

Update a service instance. 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_resource_service_instance_update? +

Register the Ibmcloud MCP server in PolicyLayer and add a rule for ibmcloud_resource_service_instance_update: 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_resource_service_instance_update? +

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

Can I rate-limit ibmcloud_resource_service_instance_update? +

Yes. Add a rate_limit block to the ibmcloud_resource_service_instance_update 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_resource_service_instance_update completely? +

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

ibmcloud_resource_service_instance_update 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.

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