okx_predictions_cancel_all

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

The description lacks behavioral disclosure. With no annotations, the description must carry the full burden. It does not state what is cancelled (open orders? positions?), the scope (by asset IDs or all?), side effects, or reversibility. This is a critical gap for a potentially destructive write operation.

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 extremely short, but this conciseness sacrifices informative content. While it avoids verbosity, it fails to communicate essential details, making it less than effective.

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's complex nature (potential bulk cancellation), the absence of an output schema and lack of explanation about what is cancelled, prerequisites, or confirmations make the description completely inadequate for an agent to use safely and correctly.

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 input schema has one optional parameter 'assetIds' with 100% description coverage. However, the description adds no additional meaning beyond what the schema provides. It does not explain how the parameter affects the cancellation (e.g., filter or scope), leaving ambiguity.

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 uses cryptic tags like '[L:WRITE] CAT:[预测]' and a prerequisite reference, but does not clearly state the tool's purpose. The name 'cancel_all' suggests cancelling all predictions orders, but the description fails to articulate this in plain language, making it vague for differentiation from sibling tools like 'okx_predictions_cancel_order'.

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 only provides a prerequisite ('call agent_catalog first') but no guidance on when to use this tool versus alternatives like individual cancel or other mass cancel tools. It does not specify context, exclusions, or when not to use.

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