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split_config

Divide large configuration files into manageable, focused skills for AI processing. Automatically detects config types and recommends optimal splitting strategies to handle documentation with 10,000+ pages or unified multi-source configurations.

Instructions

Split large configs into multiple focused skills. Supports documentation (10K+ pages) and unified multi-source configs. Auto-detects config type and recommends best strategy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
config_pathYes
strategyNoauto
target_pagesNo
dry_runNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions auto-detection and strategy recommendation, but doesn't describe what happens during execution (e.g., whether it modifies files in place, creates new files, requires specific permissions, or has rate limits). For a tool with 4 parameters and no annotation coverage, this is a significant gap in transparency.

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 appropriately concise with three sentences that each add value: stating the purpose, specifying supported config types, and describing auto-detection features. It's front-loaded with the core purpose and avoids unnecessary details.

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 4 parameters, no annotations, and an output schema exists (which reduces the need to describe return values), the description is moderately complete. It covers the purpose and context but lacks details on parameters, behavioral traits, and usage guidelines relative to siblings. It's adequate as a minimum viable description but has clear gaps.

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

Parameters2/5

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

Schema description coverage is 0%, so the schema provides no parameter descriptions. The tool description doesn't explain any of the 4 parameters (config_path, strategy, target_pages, dry_run) beyond what's implied by their names. It mentions 'auto-detects config type' and 'recommends best strategy', which loosely relates to the 'strategy' parameter, but doesn't add meaningful semantics to compensate for the low coverage.

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 tool's purpose: splitting large configs into multiple focused skills. It specifies the types of configs supported (documentation with 10K+ pages and unified multi-source configs) and mentions auto-detection of config type and strategy recommendation. However, it doesn't explicitly differentiate from sibling tools like 'validate_config' or 'sync_config' that might also handle configs.

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 some context about when to use the tool (for large configs, documentation, multi-source configs), but it doesn't offer explicit guidance on when to use this versus alternatives like 'validate_config', 'sync_config', or 'extract_config_patterns'. No exclusions or prerequisites are mentioned.

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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