spss_anova

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only mentions that the tool runs SPSS and requires installation. It does not explain what the tool returns, whether it modifies any files, how errors are surfaced, or how missing/invalid data is handled, leaving significant behavioral uncertainty.

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 very short and front-loaded with the main action. Every sentence provides useful information: what the tool runs, the optional post-hoc enhancement, and a required environmental 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?

Although an output schema exists, the overall definition is incomplete for an agent trying to call the tool correctly: required parameter meanings are absent, usage guidance versus sibling tools is missing, and post-hoc value formats are underspecified. The description covers only a small fraction of what an agent would need.

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 adds examples for the post_hoc parameter (TUKEY, BONFERRONI, LSD). It does not define file_path, dependent, or factor, leaving critical required parameters undocumented beyond their names.

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 names a specific statistical procedure ('one-way ANOVA (ONEWAY)') and clearly distinguishes it from the many sibling analysis tools, including repeated measures, MANOVA, and t-test. It also states the optional post-hoc capability, making the purpose 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?

The description implies when one-way ANOVA is appropriate by naming the procedure, but it does not explicitly contrast it with alternatives like t-test, repeated measures ANOVA, or regression, nor does it state conditions such as group count or assumptions. The only clear prerequisite is that IBM SPSS Statistics must be installed.

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