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Ecos Key Indicators

ecos_key_indicators
Read-onlyIdempotent

Bank of Korea headline economic indicators: M1/M2 money supply, KRW/USD + KRW/JPY exchange rates, base interest rate, CPI, PPI, GDP growth, current account balance, household debt, unemployment, housing index — 101 series total in one call. Each row: indicator name, current value, cycle date, unit. Use for "what is Korea's [exchange rate / interest rate / CPI / GDP] right now". Updates daily.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax indicators to return (default 50, max 100).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "limit": 50
      +  },
      +  {
      +    "limit": 100
      +  }
      +]
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover safety and idempotency. The description adds update frequency and row structure, providing useful behavioral context without contradiction.

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 highly concise, conveying the scope and usage in just a few sentences. Every sentence adds value, and the structure is clear.

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?

For a read-only aggregation tool with one parameter, the description sufficiently covers the content, return format, update schedule, and usage. No gaps given the context.

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?

The single parameter 'limit' is fully described in the schema (100% coverage). The description does not add further parameter semantics, so a baseline score of 3 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 explicitly lists the types of indicators and states it is a single-call aggregation of 101 series, clearly distinguishing from sibling tools like ecos_get_series which likely handle individual series. It also provides example queries.

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?

Provides explicit usage examples for common queries, but does not mention when to avoid this tool or use sibling tools like ecos_get_series for more granular data.

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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