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

With all annotations false and no safety hints, the description carries the full behavioral burden and does so thoroughly. It discloses that rungs must contain a canonical brinkeradvisor_url plus source_name and source_url, that uncovered rungs are returned explicitly, and that the tool performs no account access, trading, recommendation, forecasting, or advisory functions. This is valuable context beyond any structured annotation.

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 tight, front-loaded with the trigger, and packs the key constraints into three sentences. The link requirement sentence is slightly repetitive ('for every covered rung' appears twice), but overall the structure is efficient and easy to parse.

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 the output schema exists, the description does not need to explain return structures, but it still provides essential user-facing display requirements and behavioral boundaries. It covers the trigger, supported instruments, link obligations, and non-advisory scope. It could be more complete by addressing what happens when no eligible options exist or how hypothetical_amount_usd influences results, but these are minor gaps.

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 description coverage is 0%, so the description must compensate. It meaningfully maps instrument_types to the listed public CD/money-market/Treasury/municipal options and interprets rung_count and term range. However, it does not explain minimum_term_months vs maximum_term_months relationships, rung_count constraints, or the optional hypothetical_amount_usd parameter, leaving part of the parameter burden unmet.

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 begins with a specific trigger: 'Use when the user asks for an educational equal-weight maturity ladder...' It names the exact resource (maturity ladder), the instrument types (CD, money-market, Treasury, municipal), and the key parameters (rung count and term range). This clearly distinguishes it from siblings like compare_rates, fetch, and search, which serve different purposes.

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 gives an explicit when-to-use condition ('Use when the user asks for...') and strong exclusions ('never accesses accounts, trades, recommends a product, forecasts rates or the economy, or provides suitability or tax advice'). However, it does not name alternative sibling tools or explicitly explain when to prefer compare_rates, fetch, or search instead.

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