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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and openness are covered. The description adds the useful behavioral fact that it returns a live snapshot of a fixed universe of 36 markets with specific metrics. It does not say whether values are real-time versus cached, nor any rate-limit or freshness caveats.

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?

A single front-loaded sentence pairing universe ('All 36 OUROS markets') with the returned metrics. Dense and waste-free; only a minor cost is that the asset classes and field list are compressed into one long parenthetical chain.

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?

With no output schema, the description usefully enumerates the returned fields, which is the main thing an agent needs. But for a no-required-param live market tool it omits whether the response is per-market objects, whether category narrows the list, and any freshness/refresh semantics.

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 coverage is 0%, but the single parameter is a self-explanatory enum and the description's parenthetical matches those enum values. However, it never explains whether `category` filters the result or whether the 'All 36' framing conflicts with passing a category, leaving a real ambiguity about the parameter's effect.

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?

Names the resource precisely (all 36 OUROS markets on Hyperliquid) and enumerates the asset classes and returned fields, so the agent knows exactly what data this returns. The verb is only implied ('get' from the name), and it doesn't explicitly contrast with get_model_prices or get_signals, but the scope is unmistakable.

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 statement of when to use this versus siblings like get_model_prices or get_signals, and no exclusions. The parenthetical asset-class list implies the tool is for market data, but the agent must infer the routing decision from sibling names alone.

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