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Get Macro Health Snapshot Bundle

get_bundle_macro
Read-onlyIdempotent

Returns a macro health snapshot: GDP, unemployment rate (UNRATE), CPI and core CPI, Fed funds rate, yield curve 2s10s spread, and Sahm Rule recession indicator. Includes a cycle phase signal (expansion/late cycle/peak/contraction). Use this for macroeconomic context or recession risk assessment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
as_ofYesDate of the most recent underlying data
bundleYesBundle identifier
seriesYesCurrent values for each macro series
derivedYesSahm Rule value and yield curve spread
signalsYesCycle phase and recession triggered flag

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is clear. The description adds that the tool bundles multiple indicators and includes a derived 'cycle phase signal,' which is useful behavioral insight beyond the annotations. It does not mention rate limits or data quirks, but those are less critical for a read-only snapshot.

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 what the tool returns and when to use it. It front-loads the core purpose and avoids filler; every clause contributes meaningful information.

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?

With a full output schema available, the description doesn't need to detail return shapes. It provides the essential context: what indicators are included and why to use it (macro context/recession risk). This is complete for a simple, read-only, no-parameter tool.

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 tool has zero parameters, so no parameter documentation is needed; the schema already covers everything. The description's list of returned data adds context but not parameter semantics, so the baseline 4 for zero param is appropriate.

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 uses a specific verb ('Returns') with a clear resource ('macro health snapshot') and enumerates the exact metrics included (GDP, unemployment, CPI, Fed funds rate, yield curve spread, Sahm Rule). This distinguishes it from sibling bundle tools by making its exact scope explicit.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states a clear intended use: 'Use this for macroeconomic context or recession risk assessment.' It does not explicitly mention when not to use it or name alternatives like get_bundle_rate_environment or get_recession_indicator, so it misses the full 'when/when-not/alternatives' bar, but the context is unambiguous.

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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TDQS

A3.9/5.0
Disambiguation3/5

The tool set has several overlapping functions, particularly among the bundle tools (e.g., get_bundle_context_brief vs get_bundle_macro both provide macro indicators, and get_bundle_rate_environment overlaps with get_yield_curve and get_policy_spread). Individual current/history/date tools are distinct but some redundancy exists (e.g., get_treasury_yield_current vs get_current_value for DGS30). Descriptions help differentiate purposes, but agents may still hesitate when selecting between similar bundles.

Naming Consistency4/5

All tool names begin with the verb 'get_' and use snake_case, creating a consistent pattern. The bundle tools are uniformly prefixed with 'get_bundle_', and individual data tools follow a get_[entity]_[modifier] structure (e.g., get_fx_rate_current, get_fx_rate_by_date, get_fx_rate_series). Minor deviations exist (e.g., get_series, get_current_value, get_value_by_date are less descriptive of the underlying entity), but overall the naming is predictable and readable.

Tool Count3/5

With 24 tools, the server is on the heavy side of the typical range. The broad domain (macro data, mortgage, crypto, FX, treasury, EDGAR) justifies many tools, but some could potentially be consolidated (e.g., individual rate tools vs rate bundles). The count does not feel overwhelming, but it is borderline heavy.

Completeness4/5

The server covers a wide range of economic and financial data with both bundled and granular views. It includes current, historical, and date-specific retrievals for FRED series, FX, and crypto, plus specialized tools for mortgages, recession, and yield curves. Minor gaps exist, such as no way to list all supported FRED series or full financial statements for EDGAR, but the core lifecycle of data querying is well covered.