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chrisbusbin-pixel

DebtFree MCP Server

compare_snowball_vs_avalanche

Read-onlyIdempotent

Compare snowball and avalanche debt strategies side-by-side to reveal tradeoffs between psychological wins and interest savings.

Instructions

Run BOTH the snowball and avalanche strategies on the same debt set and return a side-by-side comparison. Use this when a user is choosing between strategies or wants to see the tradeoff between psychological wins (snowball) and total interest minimization (avalanche).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
debtsYesList of debts. Each debt has: name (string), balance (USD), apr_percent (annual rate as percentage e.g. 22.99), minimum_payment (USD).
extra_monthly_payment_usdNoOptional extra dollars per month above minimums. Same value used for both strategies for fair comparison.
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, establishing a safe read-only profile. The description adds the behavioral fact that both strategies are executed on the same debt set, but does not disclose additional traits like output format or computational details. Given the strong annotations, this is adequate but not exceptional.

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?

The description is exactly two sentences with no redundant words. The first sentence identifies the action and result, the second provides usage guidance. It is well-structured and front-loaded with the core purpose.

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

Completeness3/5

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

The tool has no output schema, and the description only vaguely says 'return a side-by-side comparison'. It does not specify what dimensions are compared (e.g., total interest, payoff time), which could affect an agent's ability to parse results. However, the tool's name and purpose are clear enough that the description is minimally complete.

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?

The input schema provides descriptions for both parameters (debts with properties, and extra_monthly_payment_usd with purpose), achieving 100% coverage. The description reinforces the 'same debt set' and 'fair comparison' concept, but does not add any technical parameter details beyond what the schema already states, so the baseline score applies.

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 clearly states the tool 'Run BOTH the snowball and avalanche strategies on the same debt set and return a side-by-side comparison', specifying the exact action and resource. It distinguishes itself from sibling tools like calculate_debt_payoff by focusing on comparison rather than single-strategy calculation.

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 provides explicit usage context: 'Use this when a user is choosing between strategies or wants to see the tradeoff...'. However, it does not explicitly mention when not to use this tool or list alternative sibling tools, so it falls just short of full exclusion guidance.

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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