get_dxy_index
Retrieve the US Dollar Index (DXY) for daily, weekly, or monthly timeframes to analyze macro trends.
Instructions
获取美元指数(DXY),支持多时间维度
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| timeframe | No | 时间维度:1D日 | 1W周 | 1M月 | 1D |
Retrieve the US Dollar Index (DXY) for daily, weekly, or monthly timeframes to analyze macro trends.
获取美元指数(DXY),支持多时间维度
| Name | Required | Description | Default |
|---|---|---|---|
| timeframe | No | 时间维度:1D日 | 1W周 | 1M月 | 1D |
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 only states the tool fetches DXY data without disclosing behavioral traits such as rate limits, data recency, or response format. This is insufficient for a read tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no unnecessary words. It is concise but could briefly mention return data format without becoming verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given one simple parameter and no output schema, the description is minimal. It does not explain what data is returned (e.g., current price, historical series), leaving some ambiguity for the agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% coverage with a described enum parameter. The description adds 'supports multiple time dimensions' but does not enhance understanding beyond the schema. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves the US Dollar Index (DXY) with support for multiple time dimensions. The verb 'get' and resource 'dxy_index' are specific, and it is easily distinguishable from sibling tools like get_articles or get_btc_etf_flow.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for fetching DXY data but provides no explicit guidance on when to use this tool over alternatives or when not to use it. Given the sibling tools cover different financial metrics, the context is clear but not explicit.
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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