generate_forecast

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

With no annotations, the description must disclose behavior. It explains the sequence (load model, compute forecasts, write files) but does not mention side effects like overwriting existing files, required permissions, or whether the input model is modified. The process is described, but there is room for more disclosure.

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 well-structured: a concise summary paragraph followed by a parameter list with clear explanations. It is front-loaded with the core purpose, and every sentence earns its place 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 there is no output schema and no annotations, the description is largely complete. It covers the inputs, outputs, and the role of each file. It lacks explicit mention of behaviors like overwriting or directory creation, but overall it provides enough context for an agent to use the tool appropriately.

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 fully compensates. It explains each parameter in detail (e.g., inp_path is a fitted .pre file, horizon is the number of periods ahead, output_fuf_path is for update_and_forecast, output_html is required). This adds substantial meaning beyond the schema's property 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 generates L-step-ahead forecasts from a fitted model, and lists the two output artifacts (fuf file and HTML report). This is a specific verb+resource, and the mention of writing a fuf file for update_and_forecast distinguishes it from sibling tools.

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 provides clear context: use this when you have a fitted model and need forecasts, and it produces both a fuf file for future updates and an HTML report. It does not explicitly name alternatives or state when not to use it, but the context is sufficient.

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