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show_macro

Display a curated macro snapshot with 8 key indicators, an economic stress index, and a macro regime bias. Each indicator shows current value, recent changes, and long-term average.

Instructions

Curated macro snapshot in one view: 8 indicators (VIX, 10Y Treasury, yield curve, USD index, HY credit spread, breakeven inflation, Fed funds, plus FX vs the requested display currency, each with current value, 30d/90d delta, and 5y average), plus an Economic Stress Index (0–100 from 5 FRED series with per-component breakdown), and a macro regime bias (Risk-on / Mixed / Risk-off from 5 binary signals). The display_currency arg drives the FX series selection (USD = no FX line).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
display_currencyNoDisplay currency for the FX snapshot (USD/KRW/EUR/JPY/CNY/GBP/HKD/INR/TWD). Defaults to USD.USD
Behavior4/5

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

Without annotations, the description discloses all output components (8 indicators, stress index, regime bias) and the effect of display_currency. It lacks mention of idempotency or rate limits but is otherwise transparent.

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?

Two sentences efficiently convey full scope with front-loaded overview, zero wasted words.

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

Completeness5/5

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

Given no output schema, the description fully explains the three output sections (indicators, stress index, regime bias) with enough detail for an agent to know what to expect.

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?

Schema coverage is 100%, and the description adds concrete meaning: 'display_currency arg drives the FX series selection (USD = no FX line)', which is not in the schema description.

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 'curated macro snapshot' with specific indicators, stress index, and regime bias. It distinguishes from siblings like get_market_brief by detailing exact contents.

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 for macro overview but does not explicitly state when to use versus alternatives like get_market_brief, nor provides exclusion criteria.

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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