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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains that the tool supports all payment structures and day counts, and lists the output fields, giving a solid understanding of behavior. However, it does not mention limitations, error handling, or explicitly confirm the operation is a safe read-only calculation, leaving room for more transparency.

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 three sentences, each with a distinct purpose: statement of the core function, supported features, and usage guidance. It is front-loaded with the primary action and contains no redundant or unnecessary information.

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?

The description covers the core output fields and lists common use cases, which is essential since no output schema exists. It could be slightly more detailed about default behaviors or return object structure, but given the tool's complexity (20 parameters), the description provides a well-rounded understanding of what the tool does and when to use it.

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 schema has 100% description coverage for parameters, so the baseline is 3. The description adds minimal parameter-specific meaning, though it mentions support for all payment structures (matching the paymentStructure enum) and both 30/360 and Actual/365 day counts (which are not explicit parameters). This adds some context but does not significantly enhance understanding of individual parameters beyond what the schema provides.

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 as generating a complete period-by-period amortization schedule for commercial equipment leases or finance agreements, listing specific output fields (payment date, amount, interest, principal, balance, totals). This specific verb+resource+scope distinguishes it from sibling tools like solve_lease_structure, which focus on solving a single lease structure rather than generating a full schedule.

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 explicitly states when to use the tool: 'Use when the user needs the full payment schedule, a payoff balance at a specific period, or interest/principal splits for accounting.' This provides clear context for selection, though it does not explicitly name alternative tools or list when-not-to-use conditions, so it stops short of the top score.

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