Validate PRAN (Permanent Retirement Account Number) for NPS.
AI agents call validate_pran to retrieve information from Mcp India Stack without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs validation of a retirement account number, which is a read-only operation that checks the validity of an identifier. However, severity is elevated to medium (rather than low) because PRAN validation could facilitate identity verification attacks, fraud, or account enumeration if abused by an AI agent, and retirement account data is personally sensitive financial information.
From the tool's definition Tool name is 'validate_pran' and description states it 'Validate[s] PRAN (Permanent Retirement Account Number) for NPS' - this is a validation/lookup operation that retrieves or queries data without modifying state.
Documented attack patterns abuse exactly the kind of access validate_pran gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp India Stack, and nothing reaches the server without passing your rules. This is the rule we recommend for validate_pran:
{
"version": "1",
"default": "deny",
"tools": {
"validate_pran": {}
}
}validate_pran is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Validate PRAN (Permanent Retirement Account Number) for NPS. It is categorised as a Read tool in the Mcp India Stack MCP Server, which means it retrieves data without modifying state.
Register the Mcp India Stack MCP server in PolicyLayer and add a rule for validate_pran: 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 Mcp India Stack. Nothing to install.
validate_pran 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 validate_pran 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 validate_pran. 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.
validate_pran is provided by the Mcp India Stack MCP server (rehan1020/mcp-india-stack). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp India Stack, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
58 Mcp India Stack tools catalogued and risk-classified — across an index of 43,000+ MCP servers.