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generate_inventory_from_chef_environments

Creates Ansible inventory files by converting Chef environment configurations into structured host groups for infrastructure migration.

Instructions

Generate complete Ansible inventory from Chef environments directory.

Args: environments_directory: Path to Chef environments directory output_format: Output format ("yaml", "ini", or "both")

Returns: Complete Ansible inventory structure with environment-based groups

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
environments_directoryYes
output_formatNoyaml

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool generates inventory but lacks details on permissions needed, whether it modifies files or only reads, error handling, or output specifics beyond format. This is inadequate for a tool that processes directories and outputs structured data.

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 front-loaded with the core purpose, followed by structured Args and Returns sections. It avoids redundancy, but the 'Returns' section could be more concise since an output schema exists, making some details unnecessary.

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 the tool has an output schema and no annotations, the description covers purpose and parameters adequately but lacks behavioral context like file I/O behavior or error conditions. It's minimally viable but leaves gaps in understanding how the tool operates beyond basic inputs and outputs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaningful context for both parameters: 'environments_directory' is explained as 'Path to Chef environments directory', and 'output_format' specifies allowed values ('yaml', 'ini', or 'both') with a default implied. With 0% schema description coverage, this compensates well, though it doesn't detail path format or validation.

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 clearly states the specific verb ('Generate') and resource ('complete Ansible inventory from Chef environments directory'), making the purpose explicit. It distinguishes this tool from siblings like 'convert_chef_environment_to_inventory_group' by specifying it generates a 'complete' inventory structure from a directory, not just converting a single environment.

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 does not mention sibling tools like 'convert_chef_environment_to_inventory_group' or 'generate_dynamic_inventory_script', nor does it specify prerequisites or exclusions, leaving the agent to infer usage context.

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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