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groups_ai_providers_create_ai_provider

Create a new AI provider with a name and model to connect Mealie to an AI service. Add API key, base URL, timeout, and request settings for the provider.

Instructions

Create Ai Provider — Groups: AI Providers. Create provider. [POST /api/groups/ai-providers/providers] Keywords: groups_ai_providers_create_ai_provider, groups ai providers create ai provider, create provider, add provider, new provider, make provider, write provider, provider, providers, groups ai providers, groups, ai providers, create, add, new, make, write, post, mealie.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.11

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It identifies a POST endpoint and the create action, but omits side effects, permissions, idempotency, and response behavior expected for a mutation tool.

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 useful information is front-loaded, but the long keyword list is repetitive and adds no value. Nearly half the description is a spam-like keyword block rather than useful content.

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

Completeness2/5

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

The tool has no annotations, no output schema, and 0% schema description coverage, so the description should compensate by explaining parameters and behavior. It identifies the operation and endpoint but leaves critical invocation details undocumented.

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 does not mention any body fields such as name, model, apiKey, baseUrl, timeout, requestParams, or requestHeaders. It adds no meaning beyond the raw schema property names.

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 the verb 'Create' and the resource 'Ai Provider' in the Groups: AI Providers context, and it also gives the API endpoint. It does not explicitly distinguish itself from sibling tools like get_ai_provider, update_ai_provider, or delete_ai_provider beyond the action name.

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 tool versus alternatives, no mention of prerequisites, and no indication of when not to use it. The keyword list repeats synonyms but does not provide 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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