get_customs_trade_events

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

With no annotations, the description provides moderate behavioral context: it extracts events from news intelligence and includes attributes (direction, confidence score). However, it omits details on update frequency, pagination, or limits.

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 a single paragraph that front-loads the purpose and then elaborates on content. It is relatively concise but could be more structured with bullet points or clearer separation of details.

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 no parameters and no output schema, the description covers what the tool returns: events with country, product, direction, US impact, and confidence. It is fairly complete but lacks explicit mention of the return format (e.g., list of events).

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 tool has 0 parameters, so the baseline is 4. The description does not need to add parameter details, and it appropriately avoids redundant information.

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 specifies the verb 'get' and resource 'customs_trade_events', clearly stating it retrieves policy events from news intelligence. It details coverage (tariff changes, sanctions, etc.) and differentiates from siblings by focusing on policy risk tracking.

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 implicitly guides usage by stating the tool is used by trade compliance teams and procurement managers to track policy risk. However, it does not explicitly state when to avoid it or contrast with alternatives like get_trade_policy_impacts.

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