asia_market_data

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

With no annotations, the description carries full burden. It mentions a cost of $0.01 USDC per request, which is a behavioral trait. However, it does not disclose whether the operation is read-only, any side effects, rate limits, or data freshness. The pricing is the only behavioral detail.

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?

Two concise sentences: one for purpose, one for pricing. No extraneous information. Easily scannable.

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 two parameters and no output schema, the description is adequate but incomplete. It does not mention data range, update frequency, or region specifics (though schema covers region values). The pricing is a useful addition. For a simple tool, this is minimally viable.

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 coverage is 100% with descriptions for both parameters. The description adds value by listing example indicators (GDP, indices, interest rates), which hints at valid values for the 'indicators' parameter. However, it does not add meaning beyond the schema.

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 states it provides macro economic data (GDP, indices, interest rates) for AI quantitative agents. It distinguishes from sibling tools like news or currency APIs. However, the verb is implicit ('data' rather than 'fetch' or 'get') and the tool name is generic.

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?

No explicit guidance on when to use this tool versus alternatives. The description implies it is for quantitative agents, but does not compare with siblings or indicate scenarios where it is preferred.

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