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

Annotations already declare the tool read-only, open-world, and idempotent. The description adds valuable context: data sources (WITS/OECD), structured output components, and a critical warning that async:true is required to avoid x402 timeout. This goes beyond the annotation hints and warns about a real failure mode.

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 three sentences plus a brief async warning, all of which contribute meaning. It front-loads the core purpose and lists concrete outputs. No redundant or filler content.

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 that an output schema exists and the annotations provide safety semantics, the description covers purpose, data sources, output types, and a critical operational requirement. It is sufficient for an agent to select and invoke the tool correctly. The only minor gap is sibling differentiation, which is assessed in purpose/usage dimensions.

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 100% parameter description coverage, so the baseline is 3. The description does not add meaning to individual parameters beyond what the schema already provides; it only references async in the operational note. Thus, no significant extra parameter semantics.

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 clearly identifies the tool's function: analyzing AGOA and EBA trade preference arbitrage opportunities. It specifies the target user (COOs), data sources (WITS/OECD), and output categories (duty savings, market access, compliance). However, it does not explicitly mention how it differs from closely related siblings like africa_trade_preference_optimizer or agoa_eba_intelligence.

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 implies usage for export strategy evaluation by COOs, but does not state when to choose this over alternatives. There is no explicit 'use this when' or 'for that, use X instead' guidance. The async note provides operational usage, but not comparative guidance.

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