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install_skill

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Instructions

Get the platform-specific configuration JSON needed to install a single skill. Returns a JSON object with config_path (where to write the config), config (the JSON to write), and instructions (human-readable setup steps). This tool is read-only and does NOT write any files. Use this when the user wants to install a specific skill and you need the exact config for their agent platform. Do not use this for batch installs (use install_batch instead) or for packs (use install_pack instead). The skill slug is automatically saved to agent memory after calling this tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesSkill slug in owner/repo format. Examples: 'supabase/mcp', 'microsoft/playwright-mcp'. Must be a valid slug from the Loaditout registry.
agentYesThe target agent platform. Determines the config file format and path. Use 'claude-code' for Claude Code (.claude/settings.json), 'cursor' for Cursor (.cursor/mcp.json), 'generic' if the platform is unknown.
Behavior5/5

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

With no annotations provided, the description carries the full safety burden excellently. It explicitly states 'This tool is read-only and does NOT write any files,' discloses the return object structure (config_path, config, instructions), and notes the side effect that 'The skill slug is automatically saved to agent memory.'

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?

Six sentences, each earning its place: purpose declaration, return value specification, safety assertion, usage guidance, alternative exclusion, and side effect disclosure. Information is front-loaded and no text is wasted.

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?

Despite lacking an output schema and annotations, the description is complete. It explains the return value structure, covers behavioral traits, differentiates from siblings, and documents side effects. Nothing material is missing for an agent to invoke this correctly.

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% with detailed descriptions for both 'slug' (including format examples) and 'agent' (including file paths). The description references these parameters contextually but does not add semantic meaning beyond what the schema already provides, warranting the baseline score.

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 opens with a specific verb ('Get') and clearly identifies the resource ('platform-specific configuration JSON') and scope ('single skill'). It explicitly distinguishes this from siblings by contrasting 'single skill' against batch installs and packs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit when-to-use guidance ('when the user wants to install a specific skill and you need the exact config') and clear when-not-to-use exclusions with named alternatives ('Do not use this for batch installs (use install_batch instead) or for packs (use install_pack instead)').

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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