Evaluate Forecasts By Location

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

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false, openWorldHint=false, so the safety profile is covered. The description's only added claim is 'uses the real ArcPy API', which implies actual execution rather than a mock but says nothing about writing output features/cubes to disk or permissions needed.

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?

A single compact sentence with no filler and the core action front-loaded. It is appropriately sized, just under-informative rather than bloated.

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 five undocumented parameters, an output schema, and real filesystem side effects, the description is far too thin. The output schema relieves it of explaining return values, but input semantics, preconditions, and write behavior are all missing.

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 five parameters, and the description adds no parameter meaning at all — in_cubes, output_features, output_cube, environment, and evaluate_using_validation_results are all left unexplained. With a low coverage schema and no compensating text, this is a serious 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?

States a specific verb and resource: comparing multiple forecast cubes by location, via the ArcPy EvaluateForecastsByLocation API. This is more specific than the tautological title, but it doesn't distinguish the tool from the other forecast siblings (curve_fit_forecast, exponential_smoothing_forecast, forest_based_forecast) which also operate on time-series cubes.

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 when-to-use, prerequisites, or alternatives are given. The description never says the input cubes must have been produced by a time-series forecasting tool, nor when to choose this over the single-model forecast tools.

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