wti_crude_oil
Fetch real-time and historical WTI crude oil price data for financial analysis and market monitoring.
Instructions
Fetch WTI crude oil
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| interval | No | ||
| datatype | No |
Fetch real-time and historical WTI crude oil price data for financial analysis and market monitoring.
Fetch WTI crude oil
| Name | Required | Description | Default |
|---|---|---|---|
| interval | No | ||
| datatype | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden but only states 'Fetch' without disclosing behavioral traits like data source, rate limits, authentication needs, or what the fetch operation entails (e.g., real-time vs. historical). This is inadequate for a tool with parameters.
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 extremely concise with a single phrase 'Fetch WTI crude oil', which is front-loaded and wastes no words. However, this conciseness comes at the cost of completeness, but as per scoring rules, it's efficient in structure.
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 the tool has 2 parameters with 0% schema coverage, no annotations, no output schema, and sibling tools, the description is incomplete. It doesn't address parameter usage, behavioral context, or output expectations, making it inadequate for effective tool selection.
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?
Schema description coverage is 0%, and the description provides no information about the parameters 'interval' and 'datatype'. It doesn't explain their purpose, allowed values, or how they affect the fetch operation, failing to compensate for the lack of schema details.
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 'Fetch WTI crude oil' clearly indicates the action (fetch) and resource (WTI crude oil), but it's vague about what exactly is fetched (e.g., price, volume, time series data). It distinguishes from siblings like 'brent_crude_oil' by specifying WTI, but lacks detail on scope or output type.
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?
No guidance is provided on when to use this tool versus alternatives. It doesn't mention sibling tools like 'brent_crude_oil' for comparison, prerequisites, or specific contexts where this tool is preferred, leaving usage unclear.
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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