databricks_dbu_pricing

THE RISK

Low Risk

Why databricks_dbu_pricing needs a policy

This tool queries and retrieves DBU pricing data by workload type. It performs information retrieval only, with no capability to modify, delete, execute code, or commit financial transactions. The blast radius of misuse is minimal—an agent could at most retrieve pricing information that is already publicly available. Read severity is low because pricing information is non-sensitive operational data.

From the tool's definition Tool description states 'Search and list Azure Databricks DBU rates' — uses verbs 'search' and 'list', which are read-only operations that retrieve pricing information without modification, deletion, or execution of external operations.

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

POLICY

How to control databricks_dbu_pricing

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "databricks_dbu_pricing": {}
  }
}

databricks_dbu_pricing is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Azure Pricing 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.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Azure Pricing MCP Server tools

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All 18 Azure Pricing MCP Server tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about databricks_dbu_pricing

What does the databricks_dbu_pricing tool do? +

Search and list Azure Databricks DBU (Databricks Unit) rates by workload type,. It is categorised as a Read tool in the Azure Pricing MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on databricks_dbu_pricing? +

Register the Azure Pricing MCP Server MCP server in PolicyLayer and add a rule for databricks_dbu_pricing: 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 Pricing MCP Server. Nothing to install.

What risk level is databricks_dbu_pricing? +

databricks_dbu_pricing is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit databricks_dbu_pricing? +

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

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

databricks_dbu_pricing is provided by the Azure Pricing MCP Server MCP server (msftnadavbh/azurepricingmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Azure Pricing MCP Server tool call.

Start from Azure Pricing 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 →