savings_goal

Savings Goal Calculator — Months to reach a savings target at a given monthly amount, or the monthly amount needed for a fixed horizon.

SERVERGateway SOURCEhttps://wingmanprotocol.com/mcp
Low RISK CLASS
Category Read
Parameters 51 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-wingmanprotocol-agent-gateway/savings-goal.md

What savings_goal does on Gateway

AI agents call savings_goal to retrieve information from Gateway without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
annual_return number Expected annual return as a PERCENT (default 0)
target_amount number Yes Savings target in USD
target_months integer Months to reach the goal (solve-contribution mode)
current_savings number Amount already saved in USD
monthly_contribution number Monthly contribution in USD (time-to-goal mode)

Parameters from the server's own tool schema.

Why savings_goal is rated Low

This is a computational tool that retrieves/calculates financial projections without executing financial operations, modifying persistent state, or triggering external systems. It has no side effects beyond returning calculated results.

From the tool's definition Tool performs calculations ('Months to reach a savings target' and 'monthly amount needed') based on user-provided parameters. No data is created, modified, deleted, or financial transactions are executed. It is a passive mathematical calculator.

Questions about savings_goal

What does the savings_goal tool do? +

Savings Goal Calculator — Months to reach a savings target at a given monthly amount, or the monthly amount needed for a fixed horizon. It is categorised as a Read tool in the Gateway MCP Server, which means it retrieves data without modifying state.

What parameters does savings_goal accept? +

savings_goal accepts 5 parameters: annual_return, target_amount, target_months, current_savings, monthly_contribution. Required: target_amount. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on savings_goal? +

Register the Gateway MCP server in PolicyLayer and add a rule for savings_goal: 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 Gateway. Nothing to install.

What risk level is savings_goal? +

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

Can I rate-limit savings_goal? +

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

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

savings_goal is provided by the Gateway MCP server (https://wingmanprotocol.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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