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Generate test cases

generate-test-cases

Generate pairwise test cases by defining parameters and their values, with optional constraints to exclude invalid combinations.

Instructions

Executes PICT with the given parameters and options to generate test cases.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
parametersYesRepresents a parameter definition for PICT test case generation.
constraintsTextNoPICT constraint expressions to filter invalid combinations.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesRepresents the parsed result of PICT test case generation.
messageNoOptional message output from PICT, typically containing information.
modelFileYesThe complete model file content that was passed to PICT.
Behavior2/5

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

No annotations are provided, so the description must convey behavioral traits. It only states that it executes PICT to generate test cases, but does not disclose side effects (e.g., file system changes, network calls), destructive potential, rate limits, or authentication needs. This is insufficient for a tool that executes external processes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that conveys the core action concisely. It is front-loaded but could benefit from slightly more context without losing conciseness. Currently, it is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 2 parameters, one required array, and an optional string, the description is too brief. It does not explain the output format (despite an output schema being present), error handling, or any process details. An agent would lack important context for successful invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description says 'with the given parameters and options' but adds no new meaning beyond the schema descriptions. It does not clarify how the two parameters relate or provide default behavior. Thus, it provides no extra value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description specifies 'Executes PICT' which is a specific tool for combinatorial test generation, clearly stating the action and resource. It mentions inputs and output (generate test cases). However, it assumes knowledge of what PICT is, and without sibling tools, differentiation is not needed.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives, prerequisites, or when not to use it. The description lacks any usage context or exclusion criteria, leaving the agent without decision support.

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

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