Generalized Linear Regression

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

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false, so the mutation/safety profile is covered. The description adds essentially nothing beyond that: it does not say that output_features is written/overwritten, does not describe typical runtime or licensing, and does not explain the fixed model-type constraint's consequence.

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 tight sentence with no filler and the main verb front-loaded. No padding or redundancy, though brevity here tips into under-specification for a six-parameter analysis tool.

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?

An output schema exists, so return values need not be described, but that is the only gap the schema fills. With 0% parameter documentation, five required inputs, and no usage context, the description is far too thin to let an agent invoke this correctly without opening external ArcGIS documentation.

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 6 parameters, so the description carries the full burden — yet it only alludes to two of them (model_type and explanatory_variables) in passing. in_features, output_features, dependent_variable, and environment receive no explanation anywhere.

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 ('run generalized linear regression') and adds a scope qualifier ('fixed model type and explicit explanatory variables'), which distinguishes it from regression siblings like OLS/GWR/Forest. It does not clearly separate itself from those siblings by name, but the verb+resource is unambiguous.

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?

There is no when-to-use or when-not-to-use guidance. The agent must infer from the tool name alone whether this is preferable to arcgis_pro_gp_ordinary_least_squares or arcgis_pro_gp_gwr, and no prerequisites or alternatives are named.

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