IBM Granite Forecast ($0.05)

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

Annotations indicate readOnlyHint and openWorldHint, which are consistent with the forecasting and payment model. The description adds value by specifying the zero-shot nature, the underlying model (TTM), and the cost per call, providing behavioral context beyond annotations. No contradiction found.

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 three sentences long, with the key action in the first sentence. It efficiently covers purpose, required inputs, and additional context (cost, suitability) without redundancy.

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 complexity of time-series forecasting and full schema coverage, the description provides sufficient context: model type, input requirements, and cost. While it mentions receiving the forecast horizon, it could elaborate on output format, but overall it is complete for an agent to use.

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 has 100% parameter description coverage. The description adds context by summarizing the required inputs (timestamps, values, cadence) and mentioning the default prediction length (typically 96 for 1h data), which aids understanding beyond schema.

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 explicitly states 'Zero-shot time-series forecasting' using IBM Granite TTM, clearly identifying the verb (forecast) and resource (time series). It distinguishes from sibling tools that focus on analysis, chat, code, embedding, or getting started.

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 description mentions when to use (suitable for revenue, traffic, sensor, energy, financial series) and that no training or IBM Cloud account is required. It implies alternatives are not needed but does not explicitly state when not to use.

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