predict

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

No annotations provided. The description fails to disclose important behavior such as side effects, permission requirements, or how the 'context' object is used. It only lists action names without explaining what each does in detail.

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 somewhat structured but includes a redundant list of actions that repeats the argument list. It could be more concise and front-loaded with the core purpose.

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?

Given the lack of annotations and an output schema (not shown but indicated), the description does not explain return values, error conditions, or how the tool fits into the broader workflow. It leaves significant gaps for an agent to use correctly.

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 0%, but the description lists valid action values, which partially compensates for missing enums. However, 'subject' and 'context' are not explained beyond their names, leaving their semantics unclear.

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 starts with 'Calibration tracking and forecasting' but the tool is named 'predict'. It lists multiple actions like calibration_predict, calibration_resolve, etc., suggesting a multi-action router. However, sibling tools include individual actions with same names, creating confusion about what this specific tool does. The verb+resource is not specific.

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 guidance on when to use this tool versus the sibling tools that have the same action names. The description does not state prerequisites, context, or when not to use it.

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