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

No annotations are provided, so the description carries the full burden of disclosure. It adds meaningful behavioral context: deterministic output, cites primary sources, never bills for errors/unverified rules, and has a $0.015/call price. However, it doesn't disclose return format, whether both calculations happen in one call, or payment charge semantics beyond what x_payment implies.

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?

Three short sentences front-load the core function, then add pricing and trust guarantees. No filler; every clause carries information. The structure is clean and efficient.

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 complex tool with 6 parameters, nested objects, and no output schema, the description is insufficient. It fails to explain input structure (e.g., how hours are grouped, what modes exist) or outputs (e.g., what a limit check result looks like). The behavioral guarantees are useful, but major operational gaps remain.

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 only 17% (only x_payment is described), and the description does not compensate by explaining the other parameters. It names the domain (overtime, monthly salary, scheduled hours), but provides no meaning for 'mode', 'hours', 'monthly_overtime_hours', or 'monthly_scheduled_hours'. The agent must guess how these fields relate to the calculations.

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?

Description clearly identifies the domain and function: Japanese overtime premium pay per Labor Standards Act Art.37 plus Article-36 limit check. While it lacks an explicit verb like 'calculate' or 'compute', the legal resource and specific scope distinguish it from sibling payroll tools (e.g., jp_bonus_net, jp_payroll_net). It could be stronger by stating what the tool returns, but the core purpose is clear.

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?

No explicit guidance on when to use this tool versus alternatives. It implies use for overtime wage calculations, but doesn't mention exclusions or when to prefer sibling tools like jp_payroll_suite. The 'Article-36 limit check' phrase hints at scope, but the agent is left to infer the appropriate context.

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