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

The annotations already declare readOnly, idempotent, non-destructive, open-world behavior, so the safety profile is covered. The description adds the derivation of breakeven (nominal minus real), which clarifies output semantics, but says nothing about update cadence, data freshness, units, or how revisions are handled.

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?

A single front-loaded sentence that leads with the primary resource and then enumerates outputs. The maturity list is slightly dense but each element earns its place by telling the agent what comes back.

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?

Because there is no output schema, the description usefully spells out the returned series (real, nominal, breakeven) and maturities, and the single optional parameter is fully covered by the schema. Minor gaps remain around units and whether the result is a single-day snapshot.

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% and the single date parameter is fully documented in-schema, including format, the 1990-01-02 floor, and the default-latest behavior. The description adds no parameter guidance whatsoever, so the baseline of 3 applies.

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 names the specific resource (US Treasury TIPS real yield curve) and enumerates the exact outputs: 5/7/10/20/30-year real yields, the matching nominal yield, and the implied breakeven. That detail implicitly separates it from treasury_yield_curve, but no sibling is named, so the boundary is inferential rather than explicit.

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?

Usage is only implied by the content: an agent can infer this is the tool for real yields or breakeven inflation versus a plain nominal curve. There is no explicit when-to-use statement, no exclusion of alternatives such as treasury_yield_curve, and no stated prerequisites.

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