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groups_ai_providers_create_ai_provider

Registers a new AI provider configuration with name, model, and optional API key, base URL, timeout, headers, and parameters.

Instructions

Create Ai Provider [POST /api/groups/ai-providers/providers]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
Behavior2/5

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

The description does not disclose any behavioral traits beyond the fact that it creates a provider. With no annotations, the description carries the full burden, but it fails to mention side effects, authentication needs, idempotency, or error states. It is a bare minimum.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

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

The description is extremely short (two words plus endpoint), which is efficient but under-informative. It does not front-load key information; it is merely a label. While concise, it sacrifices usefulness.

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

Completeness1/5

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

Given the complexity of the input schema (7 properties in a nested object), no output schema, and no annotations, the description is woefully incomplete. It omits return values, error handling, behavioral context, and parameter explanations. An agent cannot use this tool correctly without additional information.

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

Parameters1/5

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

The input schema has 0% description coverage, and the description itself provides no explanation of the parameters (e.g., name, model, apiKey, baseUrl, timeout, etc.). The agent receives no semantic help for filling in the complex nested body object.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Create Ai Provider' and includes the HTTP POST endpoint, which unambiguously indicates that the tool is used to create a new AI provider. However, it lacks details on what exactly an 'AI provider' is in this context, but the verb 'create' distinguishes it from siblings like update or delete.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., update or delete). There is no mention of prerequisites, appropriate scenarios, or when not to use it. The description is silent on usage context.

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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