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AiAgentKarl

Agent Directory MCP Server

register_service

Register an AI agent service in the directory by providing name, description, and category. Optionally add capabilities, endpoint, MCP config, author, and tags to improve discoverability.

Instructions

Einen AI-Agent-Service im Verzeichnis registrieren.

Args: name: Eindeutiger Service-Name description: Was der Service macht category: Kategorie (z.B. "finance", "weather", "data") capabilities: Liste der Fähigkeiten endpoint: URL oder MCP-Endpoint mcp_config: MCP Server Konfiguration (JSON) author: Autor/Entwickler tags: Tags für bessere Auffindbarkeit

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
descriptionYes
categoryYes
capabilitiesNo
endpointNo
mcp_configNo
authorNo
tagsNo
Behavior2/5

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

No annotations are provided, so the description must disclose all behavioral traits. It does not mention side effects (e.g., overwriting existing services), required permissions, or rate limits. The description is purely functional with no 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence plus a bullet list of parameters, which is efficient and easy to scan. It is concise but lacks a structured format; the parameter list is clear.

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

Completeness3/5

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

Given the tool has 8 parameters and no output schema, the description covers parameter meanings but omits important context like return behavior, error handling, or duplicate handling. It is minimally complete for simple registration but lacks depth.

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?

Although the schema has 0% description coverage, the description provides German translations and brief explanations for all 8 parameters (e.g., 'capabilities: Liste der Fähigkeiten'). This adds meaning beyond the bare JSON schema titles, though descriptions are minimal.

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 the tool's purpose: 'Einen AI-Agent-Service im Verzeichnis registrieren' (register an AI agent service in the directory). The verb 'register' and resource 'AI agent service' are specific and distinguishable from sibling tools like get_service or search_services.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or when not to use it. It only describes the action without contextual usage advice.

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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