Recommend Indian credit cards based on spending pattern. Args: monthly_spend: Total monthly card spend in rupees. primary_category: One of 'grocery', 'fuel', 'dining', 'travel', 'online_shopping', 'utilities', 'general'. annual_income: Annual income to filter cards by eligibility (optional). pref...
Part of the FinanceGenius AI server.
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AI agents call find_best_card_for_spend 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_card_for_spend 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.
{
"version": "1",
"default": "deny",
"tools": {
"find_best_card_for_spend": {}
}
}See the full FinanceGenius AI policy for all 15 tools.
These attack patterns abuse exactly the kind of access find_best_card_for_spend gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Recommend Indian credit cards based on spending pattern. Args: monthly_spend: Total monthly card spend in rupees. primary_category: One of 'grocery', 'fuel', 'dining', 'travel', 'online_shopping', 'utilities', 'general'. annual_income: Annual income to filter cards by eligibility (optional). prefer_no_annual_fee: True to prioritise lifetime-free cards. Returns: Top 5 cards with estimated annual cashback/rewards value.. It is categorised as a Read tool in the FinanceGenius AI MCP Server, which means it retrieves data without modifying state.
Register the FinanceGenius AI MCP server in PolicyLayer and add a rule for find_best_card_for_spend: 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.
find_best_card_for_spend 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 find_best_card_for_spend 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 find_best_card_for_spend. 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.
find_best_card_for_spend 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.
Deterministic rules across all 15 FinanceGenius AI tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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