spss_genlin

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

With no annotations provided, the description alone must disclose behavioral traits. It only mentions the requirement that IBM SPSS Statistics be installed, which is an environmental prerequisite. It does not state whether the tool modifies files, produces output objects, computes new variables, or has side effects, leaving the agent without enough information about what to expect.

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 sentences with no unnecessary words. The first sentence states the core action and the second adds key capabilities and a system requirement. It is as concise as possible while providing essential information.

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?

Despite having an output schema, this is a complex statistical modeling tool with 8 parameters and 3 required inputs. The description lacks guidance on how to construct the model, what the required parameters mean, or what the output will contain. It is too sparse to be considered complete for an agent needing to invoke 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%, so the description must compensate. It only hints at 'distribution' and 'link' parameters, naming some distribution types but providing no meaning for file_path, dependent, predictors, categorical, scale, or save_predicted. The description does not explain the roles of most parameters or how they should be formatted.

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 clearly states it runs a generalized linear model (GENLIN) with flexible distribution and link functions, which is a specific verb+resource. It indicates support for Poisson, binomial, gamma, and negative binomial distributions, distinguishing it from general linear models or mixed models by name and type, but it does not explicitly contrast with siblings like spss_glm_univariate or spss_mixed.

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 implies usage for dependent variables following non-normal distributions by listing supported distributions, but it gives no explicit when-to-use vs alternatives or exclusions. The mention of 'flexible distribution and link functions' suggests general applicability to GLMs without specifying when not to use it or when to choose another sibling tool.

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