get_macro_inflation

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

Annotations confirm read-only and idempotent behavior. The description adds value by specifying the output content (latest values, YoY growth, trend direction). No contradictions. Some missing details like update frequency or data source, but annotations already cover safety.

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 brief and front-loaded: first sentence lists what it returns, second gives context. 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?

For a no-parameter, read-only tool without an output schema, the description adequately explains the return value (components and metrics). It is sufficient for understanding what data to expect.

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 no parameters, and schema coverage is 100%. Per guidelines, baseline is 4. The description does not need to add parameter info, and none is provided.

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 purpose: retrieving US inflation data including CPI, Core CPI, PCE, and Core PCE with latest values, YoY growth, and trend direction. It distinguishes itself from sibling macro tools by focusing specifically on inflation metrics.

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 provides context for when to use the tool by stating inflation is key for Fed policy and stock valuation. However, it does not explicitly instruct when not to use or compare it to alternatives like get_macro_employment or get_macro_series.

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