get_sp500

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the action (fetching the index) and provides no detail about data source, update frequency, return format, or any caveats. The lack of any behavioral context beyond the purpose itself is a significant gap.

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 sentence that directly states the purpose without any filler. Every word earns its place, and the structure is appropriately front-loaded with the action.

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?

For a parameterless tool, this is minimally viable. The purpose is clear and invocation is straightforward. However, the lack of any return value description (no output schema exists) and the absence of usage guidance relative to sibling tools leave clear gaps in the overall context.

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 tool has zero parameters, so the schema is empty. Per the guidelines, the baseline for 0 params is 4. The description adds no parameter information, but none is needed since there are no arguments to explain.

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's function with a specific verb ('가져옵니다' / gets) and a specific resource ('S&P 500 지수' / S&P 500 index). This distinguishes it from sibling tools like get_exchange_rate or get_bitcoin_price, each targeting a different financial data point.

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?

There is no guidance on when to use this tool versus alternatives such as get_all_prices. The description does not mention any context, exclusions, or comparisons to sibling tools, leaving the agent without decision support for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.