forecast_demand

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

No annotations are provided, so the description carries full burden. It discloses the algorithms (sma, ses) and notes the blocked data source dependency, but does not mention aspects like idempotency, rate limits, or side effects. Behavioral coverage is moderate.

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 two concise sentences with no redundant information. The purpose and key detail about the blocked dependency are front-loaded, making it efficient.

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?

For a tool with 4 params and no output schema, the description covers the basic purpose and input requirements. However, it lacks details on parameter constraints (e.g., alpha range, windowSize meaning) and output format, leaving some gaps.

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%. The description adds meaning to the 'method' parameter by naming sma and ses, but fails to explain 'alpha' and 'windowSize'. It only partially compensates for the schema gap.

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 forecasts next-period demand using two specific methods (sma and ses), which is specific and distinguished from sibling tools like calc_reorder_point and calc_safety_stock.

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 a dependency on a historical demand series and advises to pass demandSeries directly. It does not explicitly state when to use vs alternatives or provide conditions for choosing between sma and ses, offering only implied usage context.

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