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generate_plugin_skill

Idempotent

Generate a skill package for any Ansible plugin by providing its fully-qualified name and type. Creates SKILL.md with documentation and returns its content.

Instructions

Generate a skill package for one plugin.

Writes SKILL.md to disk (no scripts/ or assets/). Returns the SKILL.md content as str, or {"error": str} on failure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
install_toNoOptional absolute path to install the skill to
plugin_nameYesFully-qualified plugin name (e.g. 'netbox.netbox.nb_lookup')
plugin_typeYesPlugin type (lookup, filter, test, connection, become, strategy, callback, inventory, cache, cliconf, httpapi, netconf, shell, or vars)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The idempotentHint annotation is present, and the description adds behavioral details: it writes SKILL.md to disk without scripts or assets, and returns the content or an error. This adds value beyond the annotation.

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 three concise sentences, front-loading the purpose, then detailing constraints, then return value. No unnecessary words.

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

Completeness5/5

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, the description adequately covers side effects (writing SKILL.md) and return format. For a simple tool with few parameters, this is complete.

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%, so the baseline is 3. The description does not provide additional semantic meaning for the parameters beyond what the schema already states.

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 'Generate a skill package for one plugin,' which is a specific verb+resource combination. It implicitly distinguishes from sibling tools like generate_collection_skills or generate_role_skill by focusing on a single plugin.

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 implies when to use this tool (for generating a skill package for one plugin) but does not explicitly mention when not to use or provide alternatives. However, the sibling tool names offer context for differentiation.

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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