Curve Fit Forecast

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

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false, and openWorldHint=false. The description adds no behavioral context beyond that—it does not explain side effects, whether it modifies the input cube, what outputs are created, or any permission requirements.

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 a single front-loaded sentence with no filler. It is efficient, though it may be too terse given the tool's parameter complexity; conciseness itself is not the problem.

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 an 11-parameter forecasting tool with 5 required inputs, 0% schema descriptions, and an output schema, the description is far too thin. It omits required parameter details, output expectations, and operational context an agent would need to call it 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 description coverage is 0% across 11 parameters, so the description must carry semantic weight. It only vaguely references curve, validation, outlier, and confidence parameter categories without mapping them to specific parameter names, accepted values, or defaults. This provides minimal help for invocation.

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?

States a specific verb and resource: running Curve Fit Forecast on a spatiotemporal cube. This is clearer than a tautology and gives an agent the core operation, but it does not differentiate this tool from siblings like arcgis_pro_exponential_smoothing_forecast or arcgis_pro_forest_based_forecast. The trailing parameter list is descriptive but does not sharpen purpose.

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 is given on when to use this tool versus alternatives, nor on prerequisites or when-not-to-use conditions. The description merely says what it runs, leaving the agent to 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.