predict_delay

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

No annotations provided, so the description carries the full burden. It does not disclose behavioral traits such as whether the tool is read-only, rate limits, authentication needs, or what happens on invalid input. The description only covers basic purpose and parameters.

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 efficient with a clear purpose sentence followed by a structured 'Args' list. No redundant text, and the most important information comes first.

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 tool's purpose and all parameters, but lacks any information about the return value or output format. Since there is no output schema, the description should have mentioned what the prediction result looks like (e.g., probability value). Also missing error handling context.

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?

Despite 0% schema description coverage, the description adds value by explaining each parameter with examples (e.g., origin 'NCE', departure_datetime format 'YYYY-MM-DDTHH:MM') and clarifying codes. This helps agents understand required formats beyond schema titles.

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 states the tool predicts the probability that a flight is delayed by more than 2 hours. It uses a specific verb 'predict', identifies the resource 'flight delay probability', and distinguishes from siblings like 'flight_status' which likely gives current status rather than prediction.

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. The description implies it's for prediction, but does not mention exclusions or recommend other tools for current status or actions.

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