spss_frequencies

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

With no annotations, the description carries full responsibility for behavioral disclosure. It mentions output and installation requirement, but does not state whether the operation is read-only, how missing variables are handled, or any side effects or errors. This is insufficient for a 3-parameter 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 three short sentences with a clear action first, followed by output and a prerequisite. Every sentence provides useful information and there is no filler or redundant wording.

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 to explain return values, the description lacks parameter-level clarity and usage context. The bare schema has no property descriptions, and the tool's requirement and prerequisite are not enough to guide invocation for a statistical analysis tool.

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 coverage is 0%, so the description must compensate. It adds that variables can be 'one or more' and statistics are 'optional,' but it does not define file_path semantics or which statistics are supported, leaving most parameter meaning unclear.

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 opens with 'Run SPSS FREQUENCIES on one or more variables,' giving a specific verb and resource. It clarifies the output as 'frequency tables with counts, percentages, and optional statistics,' which distinguishes it from sibling analysis tools like descriptives or crosstabs.

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 provides no guidance on when to prefer FREQUENCIES over alternatives such as descriptives or crosstabs. It only includes a prerequisite ('Requires IBM SPSS Statistics to be installed'), not use cases, exclusions, or conditions.

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