okx_predictions_search_events

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

With no annotations provided, the description carries the full burden. It includes '[L:READ]' hinting at read-only behavior, but does not disclose any other behavioral traits (e.g., what happens to data, authorization needs). This is minimal and insufficient.

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 and front-loaded with the prerequisite. While concise, it sacrifices clarity and completeness, making it only adequate.

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 search tool with no output schema and one parameter, the description should at least state the purpose and return value. It does neither, only providing a category and dependency. This is incomplete.

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 schema description coverage is 100% for the single parameter 'keyword', which is clearly described as '搜索关键词，必填'. The tool description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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 fails to explicitly state what the tool does. It only provides a category label ('CAT:[预测]') and a prerequisite instruction, but does not say 'searches for prediction events' or similar. The tool name suggests searching, but the description is vague.

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 gives a prerequisite ('call agent_catalog first'), but does not provide context on when to use this tool versus siblings like okx_predictions_list_events. No differentiation or exclusion criteria are offered.

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