okx_predictions_order_list

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

The '[L:READ]' tag indicates a read-only operation, which is helpful given no annotations. However, the description does not disclose other behavioral traits (e.g., pagination, rate limits, data freshness). It adds basic transparency but is incomplete.

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 very short, which is concise, but it lacks structure. The prerequisite instruction is important but is presented cryptically. It could be better organized, but it is not overly verbose.

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 absence of an output schema and the complexity of the tool (3 optional parameters, many siblings), the description is insufficient. It does not explain what the response looks like, how filtering works, or how it relates to other prediction tools.

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 100%, so the schema already documents all three parameters. The tool description adds no additional meaning or context beyond what the schema provides, meeting the baseline but not exceeding it.

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 'L:READ' and category '预测' provide some context, but it does not explicitly state that this tool lists orders. The meaning is mostly inferred from the tool name 'order_list'. The description is vague and could be clearer.

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 description includes a prerequisite instruction ('请先调用 agent_catalog') but offers no guidance on when to use this tool over siblings such as 'okx_predictions_get_order' or 'okx_predictions_place_order'. No explicit comparisons are made.

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