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calc_compound_interest

Calculate compound interest growth given principal, annual rate, time, compounding frequency, and optional monthly contributions.

Instructions

Calculate compound interest growth.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
principalYes
annual_rateYes
yearsYes
compounds_per_yearNo
monthly_contributionNo
Behavior2/5

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

No annotations exist, so the description carries full burden. It only says 'calculate', implying a read-only operation, but fails to disclose return format, potential side effects, or constraints like rate limits. The description adds minimal behavioral context beyond the verb.

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

Conciseness3/5

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

The description is a single sentence, front-loaded and concise. However, it is too brief, sacrificing essential details. It earns its place but could be expanded to be more useful without losing conciseness.

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

Completeness1/5

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

Given the tool has 5 parameters and no output schema, the description fails to explain what the output represents (e.g., future value, total interest) or the role of optional parameters. The agent lacks sufficient context to use the tool confidently.

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

Parameters1/5

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

Schema description coverage is 0% for 5 parameters. The description does not explain any parameter's meaning or format (e.g., what 'annual_rate' expects, whether 'compounds_per_year' has a default). The agent has no semantic help beyond parameter names.

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

Purpose4/5

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

The description uses a specific verb ('Calculate') and resource ('compound interest growth'), clearly distinguishing it from siblings like calc_mortgage or calc_tip. However, it lacks detail on what exactly is returned (e.g., future value, interest earned).

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description merely states what it does, leaving the agent to infer context without explicit when-to-use or when-not-to-use instructions.

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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