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squish-mcp

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generate_test_template

Creates a test case template by analyzing existing test patterns and project conventions. Provide a test suite path and test case name to generate.

Instructions

Generate a test template based on existing patterns and project conventions.

Args: test_suite_path: Path to a suite_* directory. test_case_name: Name of the test case test_description: Optional description of what the test should do

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
test_case_nameYes
test_suite_pathYes
test_descriptionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesSummary of what was generated
templateYesGenerated Python test script content, ready to write to test.py
object_patternYesObject reference pattern used in the template (e.g. 'suite_names', 'global_simple'), or null if unknown
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'based on existing patterns and project conventions' but does not disclose behavioral traits such as side effects, permissions, or what happens if patterns are missing. The output schema exists but is not described, leaving return behavior unclear.

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

Conciseness5/5

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

The description is concise with a single sentence followed by an Args list. It is front-loaded with the purpose and contains no unnecessary information.

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

Completeness3/5

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

With 3 parameters, no annotations, and an output schema present, the description covers purpose and param semantics moderately. However, it lacks behavioral transparency and usage guidelines, leaving some gaps in completeness for an agent.

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?

With 0% schema description coverage, the description adds meaning for two of three parameters: test_suite_path includes a naming pattern 'suite_*', and test_description adds 'what the test should do'. test_case_name is merely restated. This compensates partially but not fully.

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

Purpose5/5

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

The description clearly states the verb 'generate' and resource 'test template', adding context 'based on existing patterns and project conventions'. This distinguishes it from siblings like 'create_test_case' or 'generate_bdd_template'.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives like 'generate_bdd_template' or 'create_test_case'. The usage is implied through the domain, but no exclusions or comparative guidance are provided.

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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