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build_additive_breakdown

Read-only

Creates and validates an additive breakdown of health expenditure for a specific country and year, based on a given indicator code.

Instructions

Build and validate an additive breakdown for one country-year.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indicator_codeYes
countryYes
yearYes
relationship_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already indicate readOnlyHint=true and openWorldHint=true, so the description's claim to 'build and validate' aligns with safe behavior. However, it does not add further details like performance implications or validation specifics.

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?

The description is a single sentence that is front-loaded and efficient. However, it is slightly vague and could benefit from a second sentence to clarify parameters or usage.

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 the 4 parameters, the presence of an output schema, and annotations, the description is insufficient. It does not cover parameter semantics, usage guidance, or behavioral details, leaving significant gaps for the AI agent.

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 does not explain any of the 4 parameters (indicator_code, country, year, relationship_id). The phrase 'for one country-year' hints at country and year but ignores indicator_code and relationship_id completely.

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 action ('Build and validate') and the resource ('additive breakdown for one country-year'), differentiating it from sibling tools like 'additive_hierarchy' or 'build_research_package' by specifying the scope.

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 such as 'additive_hierarchy' or 'explain_indicator_relationship'. The description lacks context on prerequisites or scenarios.

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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