spss_arima

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 mentions the SPSS dependency and the syntax used, but does not explain whether the tool writes output, modifies files, requires specific permissions, or has other side effects. This is insufficient for a model-fitting tool.

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 compact, front-loaded with the model type and syntax, and uses short clauses for the key parameters. It avoids filler, though a bit more structure around parameter groups would slightly improve scannability.

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?

The tool has 9 parameters, no annotations, 0% schema description coverage, and only a brief description. The output schema helps with return values, but the description leaves core invocation details, parameter meanings, and usage context underspecified. An agent would struggle to call this tool correctly in many realistic cases.

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 usefully explains p/d/q orders and log_transform values, but says nothing about file_path, dependent_variable, independent_variables, constant, or max_iterations. The partial coverage is not enough for a 9-parameter tool.

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 this as a Box-Jenkins ARIMA time-series model and even shows the SPSS syntax form 'ARIMA depvar /MODEL=(p,d,q)'. It is distinct from the many other statistical-analysis sibling tools, though it lacks an explicit verb like 'fit' or 'estimate'.

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 says the tool 'Requires IBM SPSS Statistics' but gives no guidance on when to choose ARIMA over alternative analysis methods, nor does it mention exclusions or prerequisites like stationarity or data preparation. Usage context is largely left to inference.

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