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personal_budgeting__categorise_vs_target

Categorize your actual expenses on needs, wants, and savings to compare against your budget target based on income.

Instructions

[personal-budgeting] categorise_vs_target

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
incomeYes
actual_needsYes
actual_wantsYes
actual_savingsYes
Behavior1/5

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

With no annotations and a description that only repeats the name, there is zero disclosure of behavior (e.g., that it likely computes a comparison of actual spending to budget targets). The agent cannot infer side effects or limitations.

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

Conciseness1/5

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

While extremely short, the description is underspecified rather than concise. Every sentence fails to add value beyond the tool's name.

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 four required numeric parameters and no output schema, the description provides none of the needed context about what calculation is performed, what the result represents, or how inputs should be interpreted.

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%, and the description adds no meaning to the four parameters (income, actual_needs, actual_wants, actual_savings). The agent cannot infer that these represent categories from a budgeting rule like 50/30/20.

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

Purpose1/5

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

The description is a tautology, repeating the tool name without specifying any action, resource, or purpose. It fails to tell the agent what the tool actually does.

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

Usage Guidelines1/5

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 sibling tools like 'fifty_thirty_twenty' or 'savings_rate'. The description gives no contextual clues for selection.

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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