Look up GitHub product pricing: Plans (Free/Team/Enterprise),
AI agents call github_pricing to retrieve information from Azure Pricing MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves pricing information for GitHub plans. It performs a read-only lookup that retrieves data without side effects, altering state, executing operations, or impacting financial transactions. The worst-case misuse (e.g., an agent repeatedly querying) would have minimal blast radius. Confidence is high because the description is explicit about the lookup nature, despite being incomplete.
From the tool's definition Tool name and description indicate 'Look up GitHub product pricing' — a query/retrieval operation with no modification, deletion, or execution of code/commands.
Documented attack patterns abuse exactly the kind of access github_pricing gives an agent:
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 github_pricing:
{
"version": "1",
"default": "deny",
"tools": {
"github_pricing": {}
}
} github_pricing is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Look up GitHub product pricing: Plans (Free/Team/Enterprise),. It is categorised as a Read tool in the Azure Pricing MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Azure Pricing MCP Server MCP server in PolicyLayer and add a rule for github_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.
github_pricing is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the github_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.
Set action: deny in the PolicyLayer policy for github_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.
github_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.
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.
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18 Azure Pricing MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.