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number_to_words

Convert numeric values to English words for readability in invoices, checks, or reports. Optionally format as currency amounts.

Instructions

Convert numbers to English words (e.g. 1234 -> 'one thousand two hundred thirty four').

Parameters:
    number — Number to convert to words.
    currency — Optional currency code for money format.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numberYes
currencyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden. It does not disclose constraints like maximum number size, handling of negative numbers, decimals, or rounding behavior. The example is simple and may mislead about edge cases.

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 short, front-loaded with the main purpose, and uses bullet-style parameter explanations. Every sentence adds value, with no fluff.

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

Completeness4/5

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

Given the tool's simplicity and the presence of an output schema, the description covers the core functionality well. However, it omits details like supported number ranges or error handling, which would improve completeness.

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?

Since schema description coverage is 0%, the description adds essential meaning: it explains that 'number' is the number to convert and 'currency' is an optional code for money format. This is more than the schema provides.

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 specific verb ('Convert') and resource ('numbers to English words'), with a concrete example. It easily distinguishes from sibling tools like 'roman_numerals' or 'binary_convert'.

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

Usage Guidelines3/5

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

The description implies usage when English word representation is needed, and the 'currency' parameter hints at monetary formatting. However, it lacks explicit guidance on when to use this tool versus alternatives, or when not to use it (e.g., for very large numbers that might not be supported).

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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