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k_exchange_rate

Get real-time KRW exchange rates, Bank of Korea base rates, and historical CPI data for financial analysis and currency tracking.

Instructions

Real-time KRW exchange rate + BOK base rate + CPI (history supported)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoFree-form params object
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'real-time' and 'history supported' which gives some context about data freshness and temporal scope, but doesn't cover critical aspects like rate limits, authentication requirements, data sources, error handling, or whether this is a read-only operation versus something that triggers calculations.

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 extremely concise - just one phrase that efficiently communicates the core functionality. However, it's arguably too terse given the complexity implied by supporting multiple data types (exchange rates, base rates, CPI) with historical data. Every word earns its place, but more structure might be beneficial.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool that appears to provide financial/economic data with historical support and has a parameter (even if poorly documented), the description is insufficient. With no annotations, no output schema, and a generic parameter object, the description should do much more to explain what data is returned, how to filter it, and the tool's operational characteristics.

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

Parameters2/5

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

The input schema has 100% description coverage but only documents a generic 'Free-form params object' without specifying what parameters are actually accepted. The description provides no information about parameters at all - it doesn't mention what inputs control the exchange rate pairs, date ranges for history, or which metrics to retrieve. With 1 parameter that's completely undocumented in both schema and description, this is inadequate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool provides real-time KRW exchange rates, BOK base rates, and CPI data with historical support. It specifies the resource (KRW exchange rate, BOK base rate, CPI) and scope (real-time + history), though it doesn't explicitly differentiate from sibling tools like k_market_intel or k_public_data which might offer overlapping functionality.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, limitations, or how it differs from sibling tools like k_market_intel or k_public_data that might offer similar financial or economic 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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