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codelogic-ci

Generate CI/CD pipeline steps for CodeLogic scans. Configure .NET, Java, SQL, or JavaScript agents with templates for Jenkins, GitHub Actions, Azure DevOps, and GitLab.

Instructions

Unified CodeLogic CI integration: generate scan (analyze) and build-info steps for CI/CD. Provides AI-actionable file modifications, templates, and best practices for Jenkins, GitHub Actions, Azure DevOps, and GitLab.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scan_pathYesDirectory path to be scanned (e.g., /path/to/your/code)
agent_typeYesType of CodeLogic agent to configure
ci_platformNoCI/CD platform for which to generate configuration
application_nameYesName of the application being scanned
Behavior3/5

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

The description mentions it 'provides AI-actionable file modifications, templates, and best practices', but does not disclose potential side effects (e.g., file creation/modification permissions) or rate limits. With no annotations, more context would be beneficial.

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?

Two sentences, front-loaded with the core purpose, and no extraneous information. Every sentence adds value.

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

Completeness4/5

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

Given no output schema, the description could explicitly state the output format (e.g., generated CI config files). It is mostly complete but lacks this detail for a comprehensive 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 coverage is 100% with clear parameter descriptions. The description adds some context about 'AI-actionable file modifications' but does not significantly enhance understanding of parameter semantics beyond the schema.

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

Purpose5/5

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

The description uses a specific verb 'generate' and identifies the resource as 'scan and build-info steps for CI/CD', clearly distinguishing it from sibling tools that focus on database impact, graph queries, etc.

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

Usage Guidelines4/5

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

The description explicitly states the tool is for CI/CD integration and lists supported platforms, providing clear context. However, it does not explicitly state when not to use this tool or mention alternatives.

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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