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generate_ci_pipeline

Generate a CI/CD pipeline with test stages, caching, coverage gates, and quality reports for GitHub Actions or other platforms based on your tech stack and test types.

Instructions

Gera configuração CI/CD para GitHub Actions (e outros) com stages por camada de teste, paralelismo, cache, cobertura mínima, relatórios e gates de qualidade.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoContexto: monorepo, containers, ambientes necessários.
platformNoPlataforma CI/CD. Padrão: github-actions.
tech_stackYesLinguagem e frameworks do projeto.
test_typesYesTipos de teste a incluir.
coverage_targetNoCobertura mínima % (ex.: 80).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.0.0

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It mentions generating configuration with specific features (test stages, parallelism, caching, coverage, reports, quality gates), which gives some insight. However, it does not clarify the output format, whether it writes files, requires project files as input, or the extent of customization, making behavioral transparency moderate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently enumerates the tool's core capabilities. It is front-loaded with the main action (generating CI/CD configuration) and lists key features. Every part adds value, though it could be slightly more structured for quick scanning.

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?

Given there is no output schema and the tool has 5 parameters (2 required), the description provides a good overview of what the generated configuration includes but lacks specifics on the output's nature (file type, location, template style). The thorough schema documentation partly compensates, but the description should clarify the deliverable format for complete contextual understanding.

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?

Schema description coverage is 100% (all 5 parameters have descriptions), so the baseline is 3. The description adds minimal extra parameter context beyond listing the included features. It mentions 'tech_stack' and 'test_types' implicitly but does not elaborate on parameter usage, relationships, or defaults that aren't already in the schema.

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 tool name 'generate_ci_pipeline' combined with the description clearly states it generates CI/CD configuration, specifically for GitHub Actions and others. The description lists included features like test stages, parallelism, caching, coverage, reports, and quality gates, making the purpose specific and distinct from sibling tools like 'generate_test_strategy' or 'quality_checklist'.

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 lacks any when-to-use guidance, prerequisites, or comparison with sibling tools. It does not explain when to use this tool versus alternatives like 'generate_test_strategy' or 'review_test_code', leaving the agent without context to decide correctly.

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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