spss_reliability_alpha

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. It usefully states that the tool returns scale reliability and item statistics and that IBM SPSS Statistics must be installed. However, it does not explain what happens when SPSS is absent, whether any files are written, or other runtime behaviors.

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 filler. The core action is front-loaded, and the prerequisite about IBM SPSS Statistics is useful supporting information. Every sentence earns its place.

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 and the tool is narrowly scoped, the description omits essential parameter guidance and leaves model options and scale_name undefined. An agent would likely need additional inference or external knowledge to call this correctly with all optional parameters.

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%, and the description compensates for none of the four parameters. It does not explain file_path, variables, the model ALPHA/OMEGA distinction, or scale_name. The mention of Cronbach's alpha only hints at the default model but does not clarify the parameter semantics.

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 identifies the tool's action ('Run SPSS RELIABILITY analysis'), the specific method (Cronbach's alpha), and the domain (psychometric workflows). It is distinct from the many sibling analysis tools and leaves no ambiguity about what the tool does.

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 phrase 'for psychometric workflows' provides clear context for when this tool is appropriate, and the specificity of Cronbach's alpha implies its use case. It does not explicitly name alternative tools or exclusions, but the niche scope makes the usage context reasonably clear.

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