create_azure_ai_services_account

THE RISK

Medium Risk

Why create_azure_ai_services_account needs a policy

The tool creates a new Azure AI Services account, which is a Write action (resource provisioning/creation). It's not Destructive because account creation is reversible. Severity is high because unauthorized account creation could lead to resource cost accumulation, unauthorized access points, or infrastructure compromise.

From the tool's definition Tool name 'create_azure_ai_services_account' indicates creation of a new cloud service account/resource. Description is empty, limiting direct confirmation, but the action of account creation is reversible (can be deleted) and represents a modification of…

Documented attack patterns abuse exactly the kind of access create_azure_ai_services_account gives an agent:

POLICY

How to control create_azure_ai_services_account

PolicyLayer is an MCP gateway — it sits between your AI agents and Azure AI Agent Service MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_azure_ai_services_account:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_azure_ai_services_account": {
      "limits": [
        {
          "counter": "create_azure_ai_services_account_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

create_azure_ai_services_account stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register Azure AI Agent Service MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

LIMIT THIS TOOL →

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EXPLORE

Related tools and policies

More Azure AI Agent Service MCP Server tools

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about create_azure_ai_services_account

What does the create_azure_ai_services_account tool do? +

create_azure_ai_services_account. It is categorised as a Write tool in the Azure AI Agent Service MCP Server 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_azure_ai_services_account? +

Register the Azure AI Agent Service MCP Server MCP server in PolicyLayer and add a rule for create_azure_ai_services_account: 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 Azure AI Agent Service MCP Server. Nothing to install.

What risk level is create_azure_ai_services_account? +

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

Can I rate-limit create_azure_ai_services_account? +

Yes. Add a rate_limit block to the create_azure_ai_services_account 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_azure_ai_services_account completely? +

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

create_azure_ai_services_account is provided by the Azure AI Agent Service MCP Server MCP server (microsoft-foundry/mcp-foundry). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Azure AI Agent Service MCP Server tool call.

Start from Azure AI Agent Service MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →