e2e_generate_scenarios

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says scenarios are generated; it does not state whether files are written, whether an external API is called (despite the api_key parameter), how results are returned, or what side effects the tool has.

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 a single, front-loaded sentence with no filler. Every word contributes to identifying the action, the output, and the input source.

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?

With no annotations and no output schema, this description is too thin for reliable invocation and selection. It omits expected output format, side effects, and when it should be chosen over the many related e2e and test-generation siblings.

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 100%, so the baseline is 3; the description adds little beyond what the schema already documents. It reinforces that feature_description is the source input but does not clarify the role of api_key or the effect of app_type.

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 uses a specific verb ('Generate') and resource ('end-to-end test scenarios'), and names the source input ('user stories or feature descriptions'). This makes its core purpose immediately clear and distinguishes it from framework-specific siblings like e2e_generate_playwright and e2e_generate_cypress.

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 gives no guidance on when to use this tool versus alternatives such as e2e_generate_playwright, e2e_generate_cypress, or api_generate_tests. The phrase 'from user stories or feature descriptions' implies a use case, but there are no explicit exclusions or comparisons to sibling tools.

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