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Leviai-ai

publicfinance

by Leviai-ai

economic_overview

Get a snapshot of key US economic indicators: Treasury yield curve, unemployment rate, CPI, and nonfarm payrolls. Multi-source overview in one call.

Instructions

Get a snapshot of key US economic indicators: Treasury yield curve, unemployment rate, CPI, and nonfarm payrolls. Multi-source overview in one call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries full burden. It describes what indicators are returned but does not disclose behavioral traits such as data freshness, caching, or that it is a read-only operation. The term 'snapshot' implies non-destructiveness, but transparency is basic.

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?

Single sentence, starts with action verb 'Get', directly lists content. No fluff or redundancy. Perfectly concise for a simple tool.

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 no parameters and no output schema, the description adequately explains what the tool returns by listing key indicators. It is complete enough for an overview tool, though could mention that it returns a combined data object.

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?

There are no parameters in the input schema (0 params), so the description cannot add meaning beyond schema. Baseline for 0 params is 4. The description does list the returned indicators, which is helpful for understanding output but not parameter semantics.

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 it provides a snapshot of key US economic indicators, listing specific ones (Treasury yield curve, unemployment rate, CPI, nonfarm payrolls). It distinguishes itself from sibling tools like treasury_rates (which likely focuses only on rates) and labor_statistics (which may be more detailed but narrower).

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 a broad overview use case ('multi-source overview in one call'), but does not explicitly state when to use this tool versus alternatives like treasury_rates for detailed yield data or labor_statistics for in-depth labor metrics. Some guidance is implied but not explicit.

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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