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forensic_accounting__round_number_ratio

Compute the share of financial amounts that are exact multiples of a base number to flag potential fraud.

Instructions

[forensic-accounting] Share of amounts that are exact multiples of base - a fraud tell.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseNo
valuesYes
Behavior2/5

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It reveals it computes a share but omits details like handling of non-numeric values, output format, or assumptions (e.g., data must be numeric).

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

Conciseness4/5

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

Extremely concise single sentence, front-loading the function and context. However, the brevity sacrifices necessary detail for a statistical tool.

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

Completeness2/5

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

Given no output schema, low parameter coverage, and no annotations, the description is insufficient. It lacks output format, data requirements, and interpretation of the result.

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

Parameters2/5

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

Schema coverage is 0%, so the description must compensate. It clarifies 'base' as the divisor but fails to describe the 'values' parameter. The meaning of 'share' (proportion, ratio?) is ambiguous.

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 computes the share of amounts that are exact multiples of a specified base and identifies it as a fraud tell, distinguishing it from sibling tools like Benford test or first digit analysis.

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 on when to use this tool versus alternatives such as benford_test or first_digit. The description mentions 'fraud tell' but does not specify contexts or exclusions.

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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