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loaditout-mcp-server

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install_pack

Install curated agent skill packs for specific workflows in a single call. Set up complete roles like research or development instead of individual skills. Returns formatted details with skill names, types, and platform-specific install configs.

Instructions

Install all skills from a curated Agent Pack in a single call. Returns a formatted text response listing each skill in the pack with its name, type, slug, and platform-specific install config. Packs are pre-built collections for specific workflows (e.g., 'research-agent' has browser, search, and memory tools). Use this instead of installing skills individually when setting up for a specific role. Do not use this if you only need one specific skill (use install_skill instead).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesPack slug. Examples: 'research-agent', 'full-stack-developer', 'devops-engineer', 'data-engineer', 'browser-automation'
agentYesTarget agent platform
Behavior4/5

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

No annotations provided, so description carries full burden. Discloses return format ('formatted text response listing each skill...with its name, type, slug, and platform-specific install config') and explains pack semantics ('pre-built collections for specific workflows'). Lacks disclosure of permission requirements or idempotency given mutation nature, but covers output behavior well.

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?

Five sentences total, zero waste. Front-loaded with action, followed by return value, conceptual context, and usage guidelines. Every sentence earns its place with no redundancy.

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

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 2-parameter mutation tool with no output schema, description adequately covers return values and usage patterns. Minor gap: given siblings include check_permission/request_permission, description could note permission prerequisites, but overall sufficiently complete for correct invocation.

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

Parameters4/5

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

Schema has 100% coverage with descriptions, but description adds valuable conceptual context for 'slug' parameter by explaining packs are 'pre-built collections for specific workflows' with concrete examples ('research-agent' has browser, search, and memory tools), enhancing parameter understanding beyond schema.

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?

Clear specific verb ('Install') + resource ('skills from a curated Agent Pack') + scope ('all skills...in a single call'). Explicitly distinguishes from sibling 'install_skill' by contrasting bulk pack installation vs individual skill installation.

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?

Excellent explicit guidance: 'Use this instead of installing skills individually when setting up for a specific role' (when to use) and 'Do not use this if you only need one specific skill (use install_skill instead)' (when not to use + alternative named).

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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