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Glama

Credit GPS — Canadian credit

How long to pay this card off

payoff_timeline
Read-only

How long a card takes to clear at a fixed monthly payment, and what the interest costs over that time. Answers "if I pay $200 a month, when is this paid off?" and "what happens if I only pay the minimum?". This is a cost question, not a reporting one — it does not change what the bureaus see. Use reported_snapshot or simulate_paydown for that. Requires the card's purchase APR: without it no timeline is returned, because the rate decides the answer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cardsYesThe person's revolving credit accounts. Ask for limit, statement balance, and statement closing date per card — those three drive everything.
todayNoToday's date in the person's local timezone, yyyy-mm-dd. Pass it — the server otherwise falls back to UTC, which is a day ahead for Canadian evenings.
cardNameYesWhich card to pay off. Partial names are matched.
monthlyPaymentNoFixed amount paid each month in CAD. Omit to use the card's minimum payment, if one was supplied.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
aprBpsYes
monthsYes
balanceYes
cardNameYes
atMinimumYes
aprUnknownYes
disclosureYes
assumptionsYes
neverShrinksYes
totalInterestYes
monthlyPaymentYes

TDQS

A4.7/5.0
Behavior4/5

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

The readOnlyHint and destructiveHint annotations already signal a safe, non-destructive operation, so the description's job is lighter. It adds meaningful context by clarifying that the tool does not affect what bureaus see and that APR is a hard prerequisite for returning output, which goes beyond the annotations.

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

Conciseness5/5

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

Three sentences with no filler: the core computation is front-loaded, followed by user-facing example questions, sibling differentiation, and the critical prerequisite. Every sentence earns its place.

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?

For a read-only estimation tool with a rich input schema and an output schema, the description covers purpose, typical user intent, exclusions, and the one prerequisite that could cause a failed call. Nothing needed to select or invoke the tool correctly is missing.

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 coverage is 100%, so the description doesn't need to restate every field. It adds value by surfacing the relationship between APR and the answer, warning that missing APR yields no timeline, and mapping user phrasing like 'pay $200 a month' and 'pay the minimum' to the monthlyPayment parameter.

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?

States a precise calculation — how long a card takes to clear at a fixed monthly payment plus interest cost — and explicitly labels it a cost question, not a reporting one. This distinguishes it clearly from reporting-focused siblings and leaves no ambiguity about the resource or behavior.

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?

Names the alternatives reported_snapshot and simulate_paydown for reporting-focused scenarios, and states a hard prerequisite: purchase APR must be present or no timeline is returned. An agent gets both when-to-use and when-not-to-use guidance explicitly.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct Canadian credit question, from mechanics to calculators. Overlapping payment/utilization tools are clearly separated by current status (reported_snapshot), what-if (simulate_paydown), and recommendation (next_move). No two tools would return the same answer to the same query.

Naming Consistency4/5

Names are consistently snake_case and descriptive, but they mix noun phrases (close_card_impact, reported_snapshot) with verb-led phrases (find_statement_close_date, simulate_paydown). The pattern is readable and predictable, with minor grammatical inconsistency.

Tool Count4/5

At 16 tools the server is one over the ideal 3-15 range, but each tool covers a distinct topic or calculation. The count feels heavy yet justified by the breadth of Canadian credit mechanics and calculators.

Completeness4/5

The surface covers foundational mechanics, retention, missed payments, newcomers, products, statement timing, and several calculators, so core workflows are supported. Obvious gaps remain around disputes, fraud alerts, and authorized-user questions, but these are workarounds rather than dead ends.

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