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worldgdp.org GDP nowcasts

get_nowcast

Current GDP nowcast for one economy: headline (% SAAR), 70% range, days to official release, recent daily path, component contributions and the latest data releases that moved it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoLength of daily path to return
economyYesEconomy code: us (United States), cn (China), jp (Japan), de (Germany), in (India), uk (United Kingdom), fr (France), it (Italy), ca (Canada), br (Brazil), es (Spain), mx (Mexico), kr (South Korea), au (Australia), nl (Netherlands), ch (Switzerland), pl (Poland), be (Belgium), se (Sweden), ie (Ireland), at (Austria), pt (Portugal), fi (Finland), gr (Greece), dk (Denmark), no (Norway), ro (Romania), bg (Bulgaria), tr (Türkiye), ru (Russia), id (Indonesia), th (Thailand), sg (Singapore), hk (Hong Kong), my (Malaysia), ph (Philippines), nz (New Zealand), ar (Argentina), co (Colombia), cl (Chile), sa (Saudi Arabia), kw (Kuwait), eg (Egypt), ma (Morocco), za (South Africa), ng (Nigeria)
quarterNoe.g. 2026Q3; defaults to the current quarter

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose the return contents well (nowcast headline, uncertainty range, release countdown, component contributions), which is meaningful behavioral context, but it says nothing about data freshness, update cadence, latency, or whether the nowcast can be absent for some economies.

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?

A single front-loaded sentence that names the core output first (headline % SAAR) before the supporting detail. No filler, no repetition of the tool name.

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?

With no output schema and no annotations, the description usefully enumerates what comes back, which is the main thing an agent needs to judge relevance. It is nearly complete for a read-only data-fetch tool, though it omits any note on update frequency or missing-data behavior.

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

Parameters3/5

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

Schema description coverage is 100%, covering economy codes, the days path length, and the quarter default, so the schema does the heavy lifting. The description's mention of 'recent daily path' loosely maps to the days parameter but adds no format, unit, or default detail beyond the schema.

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?

States a specific resource (GDP nowcast), scope (one economy), and enumerates the exact contents returned (headline % SAAR, 70% range, days to release, daily path, contributions, driver releases). The phrase 'for one economy' implicitly contrasts with the sibling get_aggregate, making it distinguishable without opening the schema.

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?

Usage is implied rather than stated: an agent can infer this is the single-economy nowcast versus get_aggregate for aggregated views, but the description never says when to prefer it over get_track_record, get_release_calendar, or get_aggregate, and gives no prerequisites or exclusions.

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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