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update_ai_provider_settings

Replace AI provider settings by assigning default, audio, and image provider IDs for a Mealie group via a full update request.

Instructions

Update Ai Provider Settings — Groups: AI Provider Settings. Replace (full update) setting. [PUT /api/groups/ai-providers/settings] Keywords: update_ai_provider_settings, update ai provider settings, update setting, replace setting, edit setting, modify setting, save setting, write setting, setting, settings, groups ai provider settings, groups, ai providers, update, replace, edit, modify, save, write, put, mealie.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.11

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose one meaningful trait: PUT semantics mean a full replacement, so unspecified fields may be cleared. However, it says nothing about authentication/permission requirements, the consequence of overwriting existing settings, or that all three provider IDs are mandatory, leaving significant behavioral gaps.

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 content is one sentence (plus an HTTP method note), buried under a long list of keyword synonyms ('update, replace, edit, modify, save, write, put, mealie') that repeats the same idea many times. Front-loading is fine, but the bulk of the text does not earn its place.

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?

This is a mutation endpoint with no annotations, no output schema, and no parameter documentation. The full-replace disclosure is a helpful start, but an agent still lacks the field-level, permission, and side-effect information needed to call it safely and correctly.

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

Parameters2/5

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

There is one required body parameter with three nested properties and 0% schema description coverage. The description names no fields and gives no UUID/format or nullability guidance, so it fails to compensate for the schema gap. Only the PUT/full-replace hint gives incidental meaning.

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 states a specific verb (Update/Replace) and resource (AI Provider Settings), and the 'Replace (full update) setting' phrasing distinguishes this from an incremental patch. It is inferable that it complements the sibling get_ai_provider_settings, though the sibling is never named. The keyword dump adds noise but does not obscure the core purpose.

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 on when to use this vs. groups_ai_providers_update_ai_provider or get_ai_provider_settings, and no prerequisites such as needing existing provider IDs. Usage must be entirely inferred from the name and HTTP verb.

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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