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loaditout-mcp-server

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list_categories

Explore 10 skill categories in the Loaditout registry to browse MCP servers by domain. Includes Development Tools, AI/ML, Security, and more with counts and tags to help discover tools without specific searches.

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?

With no annotations provided, the description carries the full burden and compensates well by detailing the return structure (JSON array with specific fields: slug, name, description, skill_count, tags). It also enumerates the complete set of 10 categories, giving the agent precise expectations about the data volume and content.

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?

Information is front-loaded with purpose and usage. The enumeration of all 10 categories is verbose but earns its place by providing the complete enum set. Only the final sentence ('No parameters required') is somewhat redundant given the schema, but overall structure is logical.

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 and no annotations, the description is comprehensive. It covers purpose, usage context, return format, and specific data values, leaving no critical gaps for agent decision-making.

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?

The input schema has zero parameters, which sets a baseline of 4. The description confirms this with 'No parameters required', providing clarity without redundancy.

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 the specific verb 'List' and resource 'skill categories in the Loaditout registry', and quantifies the scope ('all 10'). It clearly distinguishes from siblings like 'search_skills' by emphasizing browsing versus querying.

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?

Provides explicit guidance on when to use: 'when they do not have a specific search query'. This implicitly defines when NOT to use it (specific queries) but stops short of explicitly naming 'search_skills' as the alternative.

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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