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generate_github_actions_workflow

Generates production GitHub Actions YAML workflows for automated testing, security scanning, Docker building, and zero-downtime deployment.

Instructions

Generates production GitHub Actions YAML workflows for automated testing, security scanning, Docker building, and zero-downtime deployment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflow_typeYesTarget GitHub Actions workflow type
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral aspects. It states the tool 'Generates' workflows, implying a non-destructive operation, but it does not indicate what the output looks like (e.g., YAML content, file path), whether it requires a repository context, or any other side effects. The lack of such details means the agent cannot anticipate the tool's full behavior, earning a low score.

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, well-structured sentence. It front-loads the core purpose ('Generates production GitHub Actions YAML workflows') and then lists specific areas. Every word adds value; there is no redundancy or extraneous detail. This is an excellent example of concise writing.

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

Completeness3/5

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

The tool is a generation tool with one parameter and no output schema, so the description should explain the return value or how the output is delivered. It currently only states what the workflow covers, not what the agent receives (e.g., YAML string, file creation). It also lacks any prerequisites or usage examples. While the description is adequate for basic understanding, it is incomplete for fully anticipating the tool's behavior, so a 3 is appropriate.

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 schema provides full documentation for the only parameter (workflow_type) with an enum and description. Since schema coverage is 100%, the baseline is 3. The tool description does not add significant meaning beyond the schema; it only mentions general activities like testing and deployment but does not map them to specific enum values. Thus, it stays at the baseline.

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 verb 'Generates' and the resource 'GitHub Actions YAML workflows', and specifies the scope ('production', 'automated testing, security scanning, Docker building, and zero-downtime deployment'). It is specific enough to convey the tool's function, though it does not explicitly differentiate from siblings like generate_docker_setup or get_deployment_checklist, so it does not earn a 5.

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?

There is no guidance on when to use this tool over its siblings. It does not mention alternatives, nor does it specify conditions like when a user needs a full CI/CD workflow versus a single Docker setup. The only implicit guidance is the tool's name and description, which is insufficient for an agent to confidently choose it among many generation tools.

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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