getTickers

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

Beyond the readOnlyHint/openWorldHint annotations, the description adds meaningful behavior: no authentication required, response fields vary by category, and option queries require either symbol or baseCoin. It also lists concrete response fields such as lastPrice, bid1Price, ask1Price, and option Greeks, which tells the agent what to expect.

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 content is front-loaded and well-structured with bullets, but several statements are duplicated: the category-dependent response caveat appears twice, the option symbol/baseCoin requirement appears twice, and the agent hint largely restates earlier bullets. It earns its place as useful but is not concise enough for a top score.

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 no output schema and a 0% schema-description coverage, the description is remarkably complete: it covers use cases, alternatives, auth, product types, return fields, and option query constraints. The main omission is expDate semantics and explicit mapping between category enum values and the product-type labels, so it is not fully complete.

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%, so the description must explain parameter semantics. It usefully explains category-dependent behavior and the option symbol/baseCoin rule, but expDate is never mentioned and the product names in the description (USDT contract, USDC contract) are not mapped to the enum values in the schema. This leaves a real gap for correct invocation.

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 opens with a specific verb and resource: 'Retrieve the latest price snapshot, best bid/ask price, and 24-hour trading statistics across all supported product types.' It enumerates concrete use cases and explicitly differentiates itself from getOrderbook and getMarketKline, so an agent can tell it apart from nearby market-data tools.

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?

The 'Use this endpoint when you need to' list gives direct selection criteria, and the 'Do not use' section names alternatives (getOrderbook for depth, getMarketKline for history). This is exactly the when-to-use vs. when-not-to-use guidance the dimension asks for.

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