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Senaro Personal Finance

Payoff Strategy Comparison

compare_payoff_strategies
Read-onlyIdempotent

Calculation, not advice. Verify with a professional before acting. Compare avalanche and snowball payoff strategies side-by-side. Pick this to compare avalanche against snowball ordering on the same set of cards; pick calculate_cc_payoff once a strategy is chosen and the need is a single payoff timeline with windfalls or fixed payments.

Returns months, total interest, payoff order, savings, total_balance, weighted_average_apr_pct, monthly_interest_now, and cost_breakdown array. When an arm is not projected to reach a zero balance, the savings.* fields for that arm carry status: "none" with value: null and an explanation, not a number.

savings.strategies_convergence separately discloses the avalanche/snowball arms' own convergence:

  • "both_converge" (ordinary case),

  • "worst_never_amortizes" (the losing strategy arm does not reach a zero balance in this projection but the winning arm does, so savings.best_vs_worst_months/interest carry status: "none"), or

  • "neither_converges" (the WINNING strategy arm does not reach a zero balance either, so no dollar or month figure derived from either strategy arm is reportable).

lower_total_interest_strategy names whichever of avalanche or snowball has the lower total interest, or "tie" when the two arms' total interest and months are exactly equal. A "tie" can co-occur with savings.strategies_convergence="neither_converges". It reports only that comparison, never that either arm pays off.

chart_hints.title and chart_hints.annotations[0].label report a dollar figure only when the comparison they describe is Defined, and otherwise state plainly that no figure is reportable, matching the "none" status on the corresponding savings.* field. Unlike chart_hints, summary and savings.savings_summary hedge rather than decline a figure, and the two always carry the same sentence as each other: when the compared arm does not converge (savings.baseline_never_amortizes=true, or savings.strategies_convergence=worst_never_amortizes) but the winning side still does, both report a figure hedged as a floor, "saves at least $X and N months ..., so the true saving could be higher than reported". Only when strategies_convergence=neither_converges do summary and savings.savings_summary also state that no figure is reportable. No savings.* sentinel object carries a hedged floor in its value key; the only place a floor ever appears is the savings.savings_summary sentence.

This tool carries no domain-shaped warnings[].type entries (unlike calculate_cc_payoff); warnings[] here is exclusively validation disclosures emitted as warnings[].code, e.g. MINIMUM_PAYMENT_NOT_BINDING_IN_BASELINE plus the general portfolio findings (MANY_CARDS, HIGH_CARD_BALANCE, etc.) shared with every card-based tool.

The response includes chart_hints with rendering directives any client can use.

This tool takes no strategy, fixed_payments, full_schedule or per_segment parameter: it always compares avalanche against snowball over the full schedule, so all four are rejected as unknown_parameter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cardsYesCredit cards to compare, 1 to 20, the same shape calculate_cc_payoff takes. Required: omitting the field answers contract_error MISSING_REQUIRED_FIELD, while an explicit JSON null answers parse_error ("cards is required and must be an array."); the two are not the same rejection. Every card may carry segments[]. Max 100 segments total across all cards in the request. Per-card, per-type caps: 1 purchase, 1 cash_advance, 5 balance_transfer, 1 promotional, 10 installment_plan.
outputNoValid values: 'summary' (default), 'inline'. summary returns the headline comparison with a data_preview block; inline returns the full payload.
chart_titleNoOverride for the chart title. Optional; must not contain an em dash or en dash. Max 120 characters.
apply_rate_capNoWhether to cap each card's APR at the regulatory ceiling before simulating. Optional; defaults to false when omitted.
extra_monthly_paymentNoExtra monthly payment in dollars, $0 to $1,000,000,000, applied on top of the required minimums. Optional; defaults to 0 when omitted.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.8/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description aligns ('Calculation, not advice'). It goes far beyond annotations by disclosing the convergence sentinel behavior (both_converge, worst_never_amortizes, neither_converges), the hedging rules in summary vs. chart_hints, the warnings[] shape difference from calculate_cc_payoff, and the rejection of strategy/fixed_payments/full_schedule/per_segment as unknown_parameter. Exceptionally rich behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The most important content is front-loaded: disclaimers, purpose, sibling routing, then return summary. The description is long, but the extended sections on convergence states, hedging, and warnings are dense technical spec material that earns their place for this complex tool. Minor deducting for length and a few redundancies (e.g., repeated explanation of 'neither_converges').

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description carries the full burden of explaining return values — and it does, listing months, total interest, payoff order, savings, cost_breakdown, chart_hints, and the non-convergence sentinel semantics in detail. Combined with 100% input-schema coverage and safety annotations, an agent has everything needed to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds genuine value beyond the schema by warning that strategy, fixed_payments, full_schedule, and per_segment are rejected as unknown_parameter, and by clarifying that the tool 'always compares avalanche against snowball over the full schedule.' This prevents agents from passing sibling-style parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a precise verb and resource: 'Compare avalanche and snowball payoff strategies side-by-side.' It explicitly names its sibling `calculate_cc_payoff` and states the distinguishing condition (comparing two strategies vs. a single chosen strategy), so an agent can tell them apart without opening schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives direct routing guidance: 'Pick this to compare avalanche against snowball ordering on the same set of cards; pick calculate_cc_payoff once a strategy is chosen and the need is a single payoff timeline with windfalls or fixed payments.' This is explicit when-to-use and when-not-to-use with the named alternative.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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