spss_genlin

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

With no annotations, the description must carry the burden of explaining behavior, but it only states that IBM SPSS Statistics must be installed and lists supported distributions. It does not disclose execution side effects, failure behavior, or what happens to the output/data.

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 short sentences with the primary action front-loaded and no filler. Every sentence adds relevant information about the model family or runtime prerequisite.

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 complex model-fitting tool with 8 parameters, no annotations, and no parameter descriptions, this is incomplete. The output schema covers return values, but the description still omits essential call context such as variable role requirements and categorical handling.

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%, so the description must compensate, but it only hints at distribution and link-function concepts. Core parameters like file_path, dependent, predictors, scale, and save_predicted remain unexplained.

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 uses a specific verb and resource: 'Run generalized linear model (GENLIN)' and clarifies flexible distribution/link support. It is clear, but it doesn't explicitly differentiate this from siblings like spss_logistic_regression or spss_genlinmixed.

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 guidance on when to choose GENLIN over alternatives such as spss_regression or spss_logistic_regression, and no exclusion criteria are given. The only contextual note is the SPSS installation requirement, which is a prerequisite, not a usage rule.

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