create_index · Azure Ai Search Python Preview MCP

WHAT IT DOES

What create_index does on Azure Ai Search Python Preview

AI agents use create_index to create or update resources in Azure Ai Search Python Preview — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Azure Ai Search Python Preview environment.

WHY IT NEEDS A POLICY

Why create_index needs a policy

Creating an index modifies the search infrastructure by adding a new searchable data structure. While this is a write operation, it is reversible (the index can be deleted via delete_index). The blast radius is moderate: misuse could result in resource consumption, index namespace pollution, or overwriting of intended indices, but does not immediately destroy data or execute arbitrary code.

From the tool's definition Tool name is 'create_index' and description states 'Creates an AI Search index'. The verb 'Creates' indicates data creation, which is a reversible write operation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_index Rate-limited

create_index 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.

View as policy code

policy.json

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

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Azure Ai Search Python Preview, so you can run agents against it safely.

FAQ

Questions about create_index

What does the create_index tool do? +

Creates an AI Search index. It is categorised as a Write tool in the Azure Ai Search Python Preview 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_index? +

Register the Azure Ai Search Python Preview MCP server in PolicyLayer and add a rule for create_index: 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 Search Python Preview. Nothing to install.

What risk level is create_index? +

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

Can I rate-limit create_index? +

Yes. Add a rate_limit block to the create_index 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_index completely? +

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

create_index is provided by the Azure Ai Search Python Preview MCP server (projectacetylcholine/mcp-server-azure-ai-search-python-preview). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.