azure_ri_pricing

THE RISK

Low Risk

Why azure_ri_pricing needs a policy

This tool retrieves and analyzes Reserved Instance pricing information. It performs data retrieval without creating, modifying, deleting, or executing any operations. The output is pricing analysis to support decision-making, not transactional action.

From the tool's definition Tool description states 'Get Reserved Instance pricing and savings analysis' — purely informational retrieval of pricing data with no modification, deletion, or execution of commands.

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

POLICY

How to control azure_ri_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 azure_ri_pricing:

policy.json

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

azure_ri_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

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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 azure_ri_pricing

What does the azure_ri_pricing tool do? +

Get Reserved Instance pricing and savings analysis. 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 azure_ri_pricing? +

Register the Azure Pricing MCP Server MCP server in PolicyLayer and add a rule for azure_ri_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 azure_ri_pricing? +

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

Can I rate-limit azure_ri_pricing? +

Yes. Add a rate_limit block to the azure_ri_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 azure_ri_pricing completely? +

Set action: deny in the PolicyLayer policy for azure_ri_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 azure_ri_pricing? +

azure_ri_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 →