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get_macro_snapshot

현재 US + KR 매크로 데이터 (Fed Funds, BoK 기준금리, 미 10Y, 한국 국고채 3년, 원/달러 등).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It only states 'current' data, implying a snapshot without providing details on data source, update frequency, caching, or response format. It does not mention whether data is real-time, delayed, or point-in-time, nor any side effects or permissions. This falls short of transparent behavioral disclosure.

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 a single, compact sentence in Korean, front-loaded with the main idea ('current US + KR macro data') and followed by a concrete list of examples. Every word adds value, and there is no redundant or unnecessary information. It is perfectly concise for a no-parameter tool.

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?

Given the tool's simplicity (no params, no output schema, no annotations), the description provides a fairly complete picture of the data content. It names key indicators and uses 'etc.' to indicate more. While it doesn't specify return format, the tool name and content list make the purpose clear. A bit more context about the data's temporal nature or source would improve completeness, but for a macro snapshot, it is sufficient.

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 there is nothing to document. The baseline of 4 applies. The description does not contradict or add param semantics, but none are needed. The agent can invoke the tool without any input, and the description outlines the output content.

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 as retrieving current US and Korean macro data, listing specific indicators such as Fed Funds, BoK base rate, US 10Y, Korean 3Y, and USD/KRW. This is specific and differentiates it from siblings like get_today_brief or get_entity, which likely have broader or different scopes.

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?

The description implies the use case: when you need current macro data for the US and Korea. However, it provides no explicit guidance on when to prefer this tool over alternatives, such as get_today_brief, nor does it state any exclusions or recommended scenarios. The lack of explicit when-to-use advice makes it merely implied.

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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