generate_scenarios

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

The description discloses the automatic saving behavior to output directory and workspace, which is useful. However, it does not mention any potential side effects, required permissions, or whether the operation is destructive. With no annotations, this level of transparency is adequate but not comprehensive.

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 exceptionally concise with two sentences. The first sentence clearly states the primary action, and the second adds a critical behavioral note. No unnecessary words or repetition.

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?

Given the tool's complexity (nested params, boolean options) and the presence of an output schema (not shown), the description is adequate but incomplete. It lacks parameter details and does not describe the output format. For a tool with siblings like 'generate_test_cases', more context would be beneficial.

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?

The input schema has 0% description coverage, and the description does not explain the two boolean parameters ('include_negative_tests', 'include_edge_cases') or their defaults. While the parameter names are somewhat self-explanatory, the description should clarify their effect on scenario generation.

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 states the tool's purpose: generating test scenarios from an ingested API specification. It effectively distinguishes from sibling tools like 'generate_test_cases' and 'generate_project_files' by specifying the input (API spec) and output (scenarios).

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?

No guidance is provided on when to use this tool versus alternatives like 'generate_test_cases'. The description lacks any 'when to use' or 'when not to use' information, leaving the AI agent to infer context from sibling tool names alone.

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