hf_sp_500

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds the data range and return type (specific year dataframe), but does not disclose any other behavioral traits such as limits, authentication, or data completeness. Since annotations cover a lot, this is adequate.

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 short and the main purpose is front-loaded. It repeats '2012-2018' and uses docstring formatting that could be cleaner, but it remains concise without unnecessary fluff.

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 simple one-parameter read-only tool, the description is mostly complete: it states the data source, range, and return type. However, it does not describe the dataframe's columns or interval details, nor does it provide any usage context or error handling information, leaving some gaps.

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 no description for the 'year' parameter (0% coverage), but the description compensates by specifying valid values (2012-2018) and the return behavior (dataframe for the specified year). This adds meaningful semantics beyond the raw schema.

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 identifies the resource as S&P 500 minute data for 2012-2018, which is specific and distinguishes it from the many other stock and index data tools in the sibling list. It lacks an explicit verb like 'get' or 'fetch', but the noun-phrase description is sufficient to understand the tool's purpose.

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. The description only states the data range and parameter details, with no mention of alternative tools for other indices or time periods, nor any context about appropriate use cases.

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