spss_genlinmixed

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only mentions the requirement that IBM SPSS Statistics be installed. It does not disclose side effects, permissions, limitations, or other behavioral characteristics beyond this installation prerequisite, leaving significant gaps.

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 concise, consisting of three sentences that each serve a purpose: defining the operation, noting supported outcome types, and stating a prerequisite. It is front-loaded with the core purpose and contains no irrelevant filler, though it could be slightly tighter by avoiding redundancy with the tool name.

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 (which covers return values), the description lacks essential practical details for complex modeling tools: it omits how to specify distribution/link, how random effects are structured, and any discussion of assumptions or data preparation. The installation requirement is the only contextual detail, leaving the tool under-specified for a 7-parameter statistical function.

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 for missing parameter explanations. However, it provides almost no parameter-specific guidance, only weakly hinting at the 'distribution' parameter via 'non-normal outcomes' and 'random effects' parameter via the tool's name. It does not clarify required inputs like file_path, dependent, or fixed_effects.

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 the specific verb 'Run' and clearly identifies the resource as 'generalized linear mixed model', explicitly mentioning the combination of GLM with random effects. This distinguishes it from sibling tools like spss_genlin (GLM without random effects) and spss_mixed (linear mixed model), giving clear purpose clarity.

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 by stating 'Supports non-normal outcomes with hierarchical structure', which hints at scenarios where this tool is appropriate. However, it does not explicitly state when to use this tool vs alternatives like spss_genlin or spss_mixed, nor does it provide exclusion criteria or alternative recommendations.

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