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generate_collection_skills

Idempotent

Batch generate skills for an entire Ansible collection and update its MANIFEST.json.

Instructions

Batch generate skills for an entire collection.

Generates/updates the collection MANIFEST.json as a byproduct. Returns {"succeeded": int, "failed": int, "total": int, "manifest": dict, "collection_skill": str}, or {"error": str} on failure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
install_toNoOptional absolute path to install skills to
collection_namespaceYesCollection namespace (e.g. 'netbox.netbox')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

The description discloses a key behavioral trait: it generates/updates the collection MANIFEST.json as a byproduct. Annotations provide idempotentHint=true, and the description does not contradict this. The return format, including error case, is fully specified.

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 concise: two sentences plus a return format specification. It is front-loaded with the main action and includes important side-effect and return details without any 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?

With output schema present, the description still adds value by specifying the return structure and error case. It mentions the side effect of manifest generation. For a batch generation tool, this covers essential operational aspects adequately.

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?

Input schema covers both parameters with descriptions (100% coverage). The description does not add any extra semantic meaning beyond what the schema already provides. Baseline 3 is appropriate.

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 tool's purpose: 'Batch generate skills for an entire collection.' The verb 'generate' and resource 'skills for entire collection' are specific, and it distinguishes from siblings like generate_plugin_skill and generate_role_skill which target individual plugins or roles.

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 usage via sibling tool names: use this tool for batch generation for the whole collection, while individual generation tools exist for plugins and roles. However, it does not explicitly state when not to use or provide criteria for selection, leaving some room for ambiguity.

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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