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generate_ci_config

Generate CI/CD configuration files for GitHub Actions or GitLab CI from your devpipe configuration to automate pipeline execution.

Instructions

Generate CI/CD configuration file (GitHub Actions or GitLab CI) from devpipe config.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
configNoPath to config.toml file
platformYesCI/CD platform to generate config for
Behavior2/5

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 states the tool generates files but doesn't cover critical aspects: whether it overwrites existing files, requires specific permissions, has rate limits, or what the output looks like (e.g., file creation vs. content return). For a tool that likely writes configuration files, this is a significant gap in transparency.

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 a single, efficient sentence that front-loads the core purpose without unnecessary details. It uses precise terminology ('CI/CD configuration file', 'devpipe config') and avoids redundancy. Every word earns its place, making it easy for an agent to parse quickly.

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

Completeness2/5

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

Given the complexity of generating CI/CD configurations and the lack of annotations or output schema, the description is incomplete. It doesn't explain the tool's behavior (e.g., file output format, error handling), return values, or integration with siblings. For a tool with 2 parameters and no structured output, more context is needed to ensure reliable agent usage.

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?

The input schema has 100% description coverage, with clear parameter definitions: 'config' as a path to a TOML file and 'platform' as an enum for GitHub or GitLab. The description adds no additional semantic context beyond what the schema provides, such as example usage or constraints. With high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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

Purpose4/5

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

The description clearly states the tool's purpose: 'Generate CI/CD configuration file (GitHub Actions or GitLab CI) from devpipe config.' It specifies the verb ('Generate'), resource ('CI/CD configuration file'), and source ('from devpipe config'), distinguishing it from siblings like 'create_config' or 'run_pipeline'. However, it doesn't explicitly differentiate from all siblings, such as 'generate_task', which might have overlapping functionality.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a devpipe config file), exclusions (e.g., not for other CI platforms), or compare to siblings like 'create_config' or 'validate_config'. This lack of context leaves the agent to infer usage based on the tool name alone.

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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