calculate_time_cost

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

There are no annotations, so the description carries the behavioral transparency burden. It only states that the tool 'calculates,' implying a read-only, side-effect-free operation, but it does not disclose assumptions like weeks-per-month conversion, rounding, or whether the result includes both time and cost as separate outputs.

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 a single, front-loaded sentence with no filler. Every word contributes to the purpose, making it easy to parse quickly.

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 tool is simple and has an output schema, so the description does not need to explain return values. However, it omits key assumptions (e.g., how weeks are converted to months) and does not clarify when to prefer this tool over calculate_automation_score, leaving some context gaps for an agent.

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 needs to compensate by clarifying parameter semantics. It adds only the 'monthly' context, which helps interpret frequency_per_week, but it does not explain units, formulas, or relationships among the required parameters.

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 uses a specific verb ('Calculate') and resource ('monthly time and labor cost of a manual process'). This clearly distinguishes it from the sibling calculate_automation_score, which focuses on a scoring metric rather than cost/time calculation.

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 intended use is implied by the description: use this tool when you need the monthly time/labor cost of a manual process. However, it does not explicitly mention when not to use it or contrast it with alternatives such as calculate_automation_score.

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