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loaditoutadmin

loaditout-mcp-server

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list_categories

Retrieve all 10 skill categories from the Loaditout registry to browse skills by domain without needing a specific search query.

Instructions

List all 10 skill categories in the Loaditout registry. Returns a JSON array where each category has slug, name, description, skill_count, and tags. Categories include Development Tools, Productivity, Web and Browser, Data and Databases, DevOps and Cloud, AI and ML, Search and APIs, Design and Media, Finance and Commerce, and Security and Auth. Use this to help the user browse skills by domain when they do not have a specific search query. No parameters required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries full burden. It transparently describes the return format (JSON array with slug, name, description, skill_count, tags) and lists all categories. No hidden side effects or behaviors.

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?

Three sentences, no waste. Front-loaded with the action and resource. Every sentence adds value: what it does, the return format, and usage guidance.

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?

For a zero-parameter tool with no output schema, the description is complete. It explains the purpose, return structure, and specific content (categories). No gaps.

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?

Input schema has 0 parameters with 100% description coverage. The description adds value by detailing return fields, which compensates for the lack of parameter info. Baseline is 4 due to zero parameters.

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 'List all 10 skill categories' with a specific verb and resource. It lists the exact categories and return fields, distinguishing it from sibling tools like search_skills.

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?

Explicitly says 'Use this to help the user browse skills by domain when they do not have a specific search query.' Provides clear when-to-use context but does not explicitly name alternatives or when not to use.

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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