get_economic_indicators

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

With no annotations provided, the description carries the full burden. It lists the types of data returned (Fed data, PPI, GSCPI, EIA forecasts), but does not disclose update frequency, data freshness, or limitations. The read-only nature is implied but not explicit.

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 of two sentences, concise and front-loaded. It efficiently states what the tool returns and its intended audience, with 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?

Given zero parameters and no output schema, the description fully explains the tool's output by listing specific data sources and the user context. It is complete for an agent to understand the tool's value.

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?

There are no parameters. Schema description coverage is 100% (as there are no params). The description compensates by explaining what the tool returns, which is essential for a parameterless tool.

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 the tool returns key economic indicators affecting supply chain costs, listing specific data sources (Federal Reserve, PPI, GSCPI, EIA). It distinguishes from siblings by focusing on macro economic context, while siblings are more specific (e.g., commodity_price_monitor, get_freight_rate_observations).

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 specifies users (supply chain strategists, procurement leaders, economic analysts) and context (macro backdrop for supply chain planning). However, it does not explicitly state when to use this tool versus alternatives or when not to use it.

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