finance_automl_forecast

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

Annotations flag destructiveHint=true, readOnlyHint=false, and openWorldHint=true, but the description adds no context about side effects. The routing sentence clarifies that execution happens under JWT, tenant, and company scope, but it does not explain why the operation is marked destructive or what effects may occur. There is no direct contradiction with the annotations, but the description does not carry meaningful behavioral transparency.

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 compact, front-loads the action name, and uses a short routing note plus two parameter lines. It contains little redundancy and does not merely repeat the schema. The routing sentence is implementation detail but is stated economically.

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?

Although an output schema exists, the description is semantically thin for a tool with many overlapping finance siblings. It does not explain what the forecast action does, when to use it, or why annotations mark it destructive. An agent cannot reliably distinguish this tool from finance_forecasting or finance_forecast_sensitivity based on the description alone.

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?

The schema provides 0% description coverage, so the description must compensate. It does add useful meaning by describing message as a free-text objective and inputs as an optional JSON string. However, it gives no examples, no expected JSON shape, and no guidance on how the two parameters interact, making it adequate but not strong.

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 identifies the tool as "Run the finance domain agent action finance_automl_forecast" and explains that it routes through a dispatcher, but it never states what the forecast action actually computes or returns. This separates it from generic dispatch but not from sibling finance forecast tools like finance_forecasting or finance_forecast_sensitivity. The purpose is recognizable but semantically vague.

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 gives no guidance on when to call this tool versus alternatives. The large sibling list contains overlapping finance forecasting tools, yet no exclusions, prerequisites, or selection criteria are provided. An agent must infer usage from the tool name alone.

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