list_categories
List available MCP server categories to discover and filter servers by type.
Instructions
List all available MCP server categories
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List available MCP server categories to discover and filter servers by type.
List all available MCP server categories
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. The verb 'list' implies a read-only operation, which is transparent. But it does not disclose the response format or any edge cases (e.g., empty list). This is sufficient for a simple listing tool but lacks extra behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, focused sentence with no redundant words. It is front-loaded and immediately communicates the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity, the description covers the essential purpose. However, without an output schema, the agent must infer the return format (e.g., an array of category names). This minor gap prevents a perfect score.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so schema coverage is complete. The description correctly omits parameter details, and the baseline for zero-parameter tools is 4, which is appropriate here.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly specifies the action (list) and the resource (all available MCP server categories), distinguishing it from siblings that handle server details, search, install, or stack operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The purpose is self-evident: use this tool when you need a list of categories, likely before searching or installing servers. However, it does not explicitly mention alternatives or when not to use it, though the simple nature of the tool makes this a minor gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/oneprofile-dev/mcp-launcher'
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