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show_regime

Analyzes macro regime bias (risk-on, mixed, or risk-off) from five FRED-based binary signals: VIX, yield curve, HY credit spread, USD trend, and breakeven inflation. Returns a detailed signal breakdown.

Instructions

Macro regime bias (Risk-on bias / Mixed / Risk-off bias) from 5 FRED-based binary signals: VIX level, yield curve, HY credit spread, USD trend (30d), and breakeven inflation. Each signal evaluates to bullish/bearish; ≥70% bullish → risk-on, ≤40% → risk-off, otherwise mixed. Returns full signal breakdown — never present as advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

The description explains the internal logic (bullish/bearish thresholds, risk-on/off classification) and states the return includes a full signal breakdown. It also explicitly says 'never present as advice,' adding transparency beyond basic behavior.

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?

The description is three sentences and highly concise. Every sentence adds essential information, with no fluff. The most important information is front-loaded.

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 output schema, the description sufficiently explains the return values: full signal breakdown and the aggregation logic. It is complete for the tool's complexity.

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?

The input schema has no parameters (schema coverage 100%), so description does not need to explain parameters. The description adds value by detailing the output logic, which compensates for the lack of parameters.

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 shows macro regime bias based on 5 specific signals, using a clear verb and resource. It distinguishes from sibling tools by detailing its unique logic and signals.

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?

The description does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention when not to use it. Usage context is only implied.

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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