labor_statistics

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

Discloses 'No API key required' and 'v1 API', which are useful. However, lacks details on data freshness, rate limits, or any potential side effects (though read-only is inferred).

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, front-loaded with purpose, then key benefit. No wasted words.

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?

No output schema provided, and description does not mention return format or data structure. With no annotations and moderate parameter count, could be more complete.

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 has 100% description coverage for all 4 parameters. The description adds no extra value beyond the schema, so baseline score 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?

Explicitly states 'Get US labor market and economic statistics from the Bureau of Labor Statistics (BLS)', with specific examples like unemployment rate, CPI, payrolls. Clearly distinguishes from siblings like treasury_rates or economic_overview.

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?

Implies usage for BLS data but no explicit comparison to sibling tools or when-not to use. No mention of prerequisites or exclusion criteria.

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