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

With no annotations, the description carries the burden of disclosing behavior. It adds useful context: hourly cadence, 67 symbols, Hyperliquid vs Binance 1h-equivalent normalization, and the start date from HL genesis. However, it does not describe return format, error behavior, or limitations beyond the symbol count.

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 dense, relevant information: data product, symbol count, sources, cadence, and start date. Every element contributes value with no redundant wording.

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?

While the description provides useful data context, it leaves significant gaps for a tool with no annotations, no output schema, and undocumented parameters. The agent would not know how to construct valid requests or interpret the response, reducing completeness for reliable invocation.

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 does not explain the meaning or format of symbol, start, or end. It mentions '67 symbols' but does not specify how to select one, nor does it define date formats. The description fails to compensate for the lack of schema descriptions.

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: hourly CEX-vs-DEX funding spread for 67 symbols comparing Hyperliquid and Binance funding. It distinguishes itself from sibling tools like get_funding by specifying the spread calculation and data scope, though it lacks an explicit action verb beyond the tool's name.

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 such as get_funding or get_bars. It implies usage by describing the data, but does not state conditions, exclusions, or preferred scenarios.

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