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Better Mealie MCP

Create Admin Groups By Group Ai Providers Providers

create_admin_groups_by_group_ai_providers_providers

Create an AI provider for a group with required name, model, and group ID. Configure optional API key, base URL, timeout, and custom request parameters or headers.

Instructions

Create Ai Provider

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
modelYes
apiKeyNo
baseUrlNo
timeoutNo
group_idYes
requestParamsNo
requestHeadersNo
accept-languageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.20.1

TDQS

C2.3/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavior but only says 'Create Ai Provider.' It conveys that this is a mutation but gives no information about auth requirements, the group association, or side effects such as storing an API key or overwriting existing providers.

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 three words, which is concise, but it is under-specified rather than efficiently complete. It front-loads the action but saves no room for the scope and parameter context an agent actually needs.

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?

For a nine-parameter mutation with no annotations, the description is far too thin. Even though an output schema exists, the missing distinction between admin and normal group provider creation, the group relationship, and the configuration fields makes this inadequate for reliable invocation.

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?

Schema description coverage is 0%, and the description mentions none of the nine parameters, including required group_id, name, and model. With no compensation in the description, an agent cannot infer which values are meaningful or how they relate to the AI provider being created.

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 names a specific operation, creating an AI provider, so the core purpose is clear. However, it does not mention the admin/group scope that separates it from the very similar sibling create_groups_ai_providers_providers, so it lacks sibling differentiation.

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?

There is no guidance on when to use this endpoint rather than the many other AI provider creation/update/delete endpoints. The tool name implies admin context, but the description never states it, leaving the agent unable to choose confidently between this and create_groups_ai_providers_providers.

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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