generate_kotlin_cicd_pipeline

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

With no annotations provided, the description carries the full behavioral disclosure burden. It states what is generated but does not disclose whether the tool writes files, returns content, modifies the existing project, requires authentication, or overwrites existing files. It also does not mention that generated artifacts depend on target/enableDetekt/enableDocker choices.

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 concise sentence, front-loaded with the most important verb and primary artifact ('GitHub Actions workflows'). Every listed item adds information, and there is no redundant or filler wording.

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?

For a medium-complexity code generation tool with no output schema and no annotations, the description is minimally viable: it names the core artifacts. But it omits the tool's return/output behavior, whether files are written or emitted, and how target changes the output. The defaults and enum values are available in the schema, but the description itself leaves important behavioral context to inference.

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 75%, and projectName, enableDetekt, and enableDocker already have schema descriptions. The description adds high-level context like 'production' and 'Gradle build caching' and roughly aligns Detekt/Docker with the boolean parameters. However, the target parameter has no schema description, and the tool description does not clarify how the five target values affect the generated pipeline, only hinting at Ktor backend.

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 the specific verb 'Generates' and lists concrete output resources: GitHub Actions workflows, Detekt steps, a Dockerfile for Ktor backend, and Gradle build caching. This clearly separates the tool from siblings like generate_kotlin_localization or scaffold_kotlin_backend, though it does not explicitly name a differentiating alternative. The phrase 'Dockerfile for Ktor backend' is slightly narrower than the broad target enum, which creates minor ambiguity.

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?

Usage is implied by the name and artifact list: the agent can infer to use this tool when a Kotlin CI/CD pipeline is needed. However, there is no explicit guidance about when to prefer this over related generate/scaffold tools, no exclusions, and no mention of prerequisites such as requiring an existing Kotlin project or repository context.

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