Swagger: Create API from Prompt

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

Description adds behavioral context beyond annotations: automatically applies governance rules, returns HTTP 201 for creation and 200 for update, response includes 'operation' field. Annotations already indicate destructive and idempotent. No contradiction.

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?

Description is verbose with repetition of specType values, but well-structured with clear sections. Could be more concise without losing information.

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 presence of an output schema (not shown), description covers return format (status codes, operation field, API details, SwaggerHub URL), which is sufficient for understanding the tool's output without seeing the output schema.

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 100%, so baseline is 3. Description reiterates specType options and explains their purpose, adding marginal value over schema. No new parameter semantics beyond what schema provides.

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 it generates and saves an API definition from a prompt using SmartBear AI, with automatic governance and standardization. It explicitly lists specType options, distinguishing it from sibling tools like swagger_create_or_update_api by emphasizing compliance and natural language generation.

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 explicit usage guidance: 'Use this tool when creating APIs that comply with governance policies' and 'when users ask to create, generate, or design APIs with governance or standardization requirements.' It does not explicitly state when not to use, but the context is clear and differentiates from siblings.

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