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Macro Snapshot

by io.github.pipeworx-io

Macro Snapshot

macro_snapshot
Read-onlyIdempotent

Get the current state of the US/global economy in ONE call — Fed funds rate, the full Treasury yield curve (3mo/2y/10y + 10y-2y and 10y-3m spreads with inversion flag), CPI & core CPI year-over-year, unemployment, nonfarm payrolls (+1mo change), real GDP growth, S&P 500, VIX, the broad USD index, and BTC. Composes 16 FRED series (Federal Reserve economic data) with live crypto, runs them in parallel, and returns a structured dashboard plus human-readable callouts (curve inversion, inflation vs the Fed's 2% target, elevated VIX). Use this instead of fetching ten indicators separately. No arguments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already cover safety (readOnly, idempotent, not destructive). Description adds behavioral details: it composes 16 FRED series with live crypto, runs them in parallel, returns structured dashboard and callouts. No contradictions.

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 detailed but not overly lengthy. It front-loads the main purpose and lists key outputs. Slight redundancy in listing all series could be trimmed, but overall good.

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 no parameters and no output schema, the description fully explains what the tool does and what it returns (dashboard with callouts). It is complete and self-contained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, so baseline is 4. The description handles this perfectly by specifying 'No arguments' and not needing to explain any inputs.

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's purpose: providing a comprehensive snapshot of the US/global economy with a specific list of indicators. It distinguishes from siblings by noting it consolidates multiple indicators into one call.

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?

Explicitly advises using this tool instead of fetching ten indicators separately, implying when to use (broad snapshot) and when not (if only one indicator needed). Could be more specific about alternatives.

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

A4.1/5.0
Disambiguation2/5

Several tools occupy heavily overlapping space: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded share the same router, with the beta version explicitly noted as currently identical to the stable one. The six polymarket_* tools plus bet_research and macro_snapshot/indicator further blur boundaries, so an agent could easily route a query to the wrong entry point despite the detailed descriptions.

Naming Consistency4/5

Names are consistently snake_case and mostly follow a verb_first or domain_prefix pattern (ask_pipeworx, resolve_entity, validate_claim, polymarket_edges). Minor deviations like entity_profile, indicator, macro_snapshot, and recent_alerts use noun phrases, but the style is still predictable and readable.

Tool Count2/5

At 33 tools, the surface is heavy and exceeds the 25+ threshold for 'too many'. While the server covers many domains, several tools are near-duplicates or conveniences (ask_pipeworx_beta, scan_competitor_ai_presence, indicator) that could be consolidated.

Completeness5/5

For its apparent scope—structured data Q&A, grounded research, entity comparison, prediction-market analysis, subscriptions, and memory—the tool set covers the full lifecycle: query, ground, verify, research, compare, monitor, subscribe, alert, and manage state. There are no obvious dead ends; even supporting workflows like discover_tools and suggest_questions are provided.

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