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Glama

Credit GPS — Canadian credit

Next move

next_move
Read-only

The single highest-priority credit action right now: which card, how much, and by which date. Dated to the statement CLOSING date rather than the payment due date, because the closing balance is what Canadian issuers report to the bureaus. Use this when someone asks what to pay, what to do first, or how to lower utilization before it is reported. Deterministic arithmetic — same inputs, same 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.
targetUtilizationNoTarget utilization as a decimal. Defaults to 0.29 — one point under the 30% band.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
moveYes
forecastYes
disclosureYes
assumptionsYes
currentUtilizationYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already indicate a safe read-only operation, so the description adds meaningful behavioral context beyond them: it targets the statement closing date rather than the payment due date, explains the Canadian bureau reporting rationale, and states 'Deterministic arithmetic — same inputs, same answer.' No contradiction with 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?

Four sentences, zero filler. The key output is front-loaded, then the critical date nuance, then usage triggers, then determinism. Every sentence carries distinct, necessary information.

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?

The description is complete for a tool with a rich output schema, full parameter documentation, and annotations covering safety. It explains the purpose, the main usage scenarios, a subtle date behavior, and the deterministic nature of the computation, leaving no operationally critical gap for an agent selecting or invoking it.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already fully documents every parameter. The description adds only high-level semantic framing ('which card, how much, and by which date') and clarifies the importance of the closing date, but it does not need to compensate for missing parameter docs.

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 states a specific, actionable result: 'The single highest-priority credit action right now: which card, how much, and by which date.' It clearly identifies the resource (credit action) and the verb (determine/select), and differentiates the tool from other planning tools by focusing on the single next step rather than a broader plan.

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

Usage Guidelines4/5

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

The description explicitly tells an agent when to invoke the tool: 'Use this when someone asks what to pay, what to do first, or how to lower utilization before it is reported.' It gives clear contextual triggers, though it does not explicitly list sibling tools to avoid or state when not to use it.

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.

Resources