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parse_ansible_inventory

Parse and validate Ansible inventory files in INI or YAML format to ensure correct configuration for automation tasks.

Instructions

Parse and validate Ansible inventory files

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inventoryYesAnsible inventory content (INI or YAML format)
Behavior2/5

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

Annotations provide minimal information (title mismatch and readOnlyHint=false). The description adds that it 'validates' in addition to parsing, which suggests it may return validation errors. However, it doesn't disclose what validation entails, whether it modifies the input, what formats are supported beyond 'INI or YAML format' mentioned in schema, or what the output looks like. For a tool with sparse annotations, this leaves significant behavioral gaps.

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 directly states the tool's function without unnecessary words. It's appropriately sized for a simple parsing/validation tool and front-loads the core purpose.

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?

For a parsing/validation tool with no output schema and minimal annotations, the description is insufficient. It doesn't explain what constitutes valid inventory content, what validation checks are performed, what error formats to expect, or what successful parsing yields. The sibling tools include related Ansible tools, suggesting this operates in a domain where more context would be helpful.

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% with one parameter well-documented in the schema. The description doesn't add any parameter-specific information beyond what's already in the schema's description field. This meets the baseline of 3 when schema coverage is high, but adds no extra value.

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 'parse and validate' and the resource 'Ansible inventory files', making the purpose unambiguous. It doesn't explicitly differentiate from sibling tools like 'validate_ansible_playbook' or 'generate_ansible_inventory', but the focus on inventory files provides reasonable distinction.

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. There's no mention of when parsing/validation is needed, what constitutes valid inventory content, or how this differs from related tools like 'validate_ansible_playbook' or 'generate_ansible_inventory' in the sibling list.

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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