Low Risk

find_best_fd

Rank Indian Fixed Deposits by net-of-tax yield for a given amount + tenure. Args: amount: Investment amount in rupees. years: FD tenure in years (e.g. 1.5 for 18 months). is_senior_citizen: True to use senior-citizen rates (typically +0.5%). tax_slab_pct: Investor's income tax slab as a percentag...

Part of the FinanceGenius AI server.

find_best_fd is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call find_best_fd to retrieve information from FinanceGenius AI without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though find_best_fd only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "find_best_fd": {}
  }
}

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These attack patterns abuse exactly the kind of access find_best_fd gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so find_best_fd only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the find_best_fd tool do? +

Rank Indian Fixed Deposits by net-of-tax yield for a given amount + tenure. Args: amount: Investment amount in rupees. years: FD tenure in years (e.g. 1.5 for 18 months). is_senior_citizen: True to use senior-citizen rates (typically +0.5%). tax_slab_pct: Investor's income tax slab as a percentage (5/10/20/30). FD interest is fully taxable; this is used for net-yield ranking. Returns: Top 5 FDs sorted by net-of-tax maturity, each showing gross & net amount.. It is categorised as a Read tool in the FinanceGenius AI MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_best_fd? +

Register the FinanceGenius AI MCP server in PolicyLayer and add a rule for find_best_fd: 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 FinanceGenius AI. Nothing to install.

What risk level is find_best_fd? +

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

Can I rate-limit find_best_fd? +

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

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

find_best_fd is provided by the FinanceGenius AI MCP server (https://mcp.financegenius.ai/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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