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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds no behavioral context beyond the predictions themselves (no auth, rate limits, or operational constraints), leaving it purely output-oriented.

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?

Front-loaded and efficient: the first sentence states the core value proposition, and the second is a brief link. The link is arguably promotional noise for an agent, but the overall text is tight and well-structured.

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?

With no output schema, the description gives a high-level list of what is predicted but does not specify return format (e.g., days, probability, dollar amount). For a six-parameter calculator, this is adequate but leaves an agent guessing about output structure.

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 100%, so the schema fully documents all six parameters, including the 'paper' enum with its 1.8x multiplier note. The description adds no additional meaning, so baseline 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?

States a specific verb (predict) and three concrete outputs: redline duration, quarter-end slip risk, and revenue at risk. This clearly distinguishes it from generic calculators, though it doesn't name any sibling for contrast.

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 when-to-use guidance, no prerequisites, and no alternatives mentioned. The agent must infer from the name alone that this is for legal redline duration forecasting, with no help on when to pick it over similar siblings like sales_cycle_length_forecaster.

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