create_data_store · Dialogflow CX MCP Server MCP

WHAT IT DOES

What create_data_store does on Dialogflow CX MCP Server

AI agents use create_data_store to create or update resources in Dialogflow CX MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dialogflow CX MCP Server environment.

WHY IT NEEDS A POLICY

Why create_data_store needs a policy

An AI agent can call create_data_store faster than any human can review — one bad instruction and it creates or modifies resources in Dialogflow CX MCP Server by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_data_store Rate-limited

create_data_store 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_data_store": {
      "limits": [
        {
          "counter": "create_data_store_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 Dialogflow CX MCP Server, so you can run agents against it safely.

FAQ

Questions about create_data_store

What does the create_data_store tool do? +

create_data_store. It is categorised as a Write tool in the Dialogflow CX 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_data_store? +

Register the Dialogflow CX MCP Server MCP server in PolicyLayer and add a rule for create_data_store: 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 Dialogflow CX MCP Server. Nothing to install.

What risk level is create_data_store? +

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

Can I rate-limit create_data_store? +

Yes. Add a rate_limit block to the create_data_store 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_data_store completely? +

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

create_data_store is provided by the Dialogflow CX MCP Server MCP server (yash-kavaiya/conversation_agents_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.