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Better Mealie MCP

Update Groups Ai Providers Providers By Provider

update_groups_ai_providers_providers_by_provider

Update an AI provider's configuration by providing its ID, name, and model. Adjust API key, base URL, timeout, headers, or request parameters as needed.

Instructions

Update Ai Provider

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
modelYes
apiKeyNo
baseUrlNo
timeoutNo
provider_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

C2/5.0
Behavior2/5

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

With no annotations, the description must carry the burden of behavioral disclosure, but 'Update Ai Provider' only signals mutation. It does not state whether this is a partial or full update, what happens to unspecified fields, permission requirements, or how API key and header values are handled.

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 short, but this is under-specification rather than effective conciseness. The single phrase contains no structure or detail that would justify a 9-parameter update operation.

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?

The tool has three required fields, nine parameters, nested objects, and an output schema, yet the description provides none of the surrounding context an agent needs: which provider is being updated, what fields are valid, or how this interacts with related provider endpoints. The output schema may document return values, but it cannot compensate for the missing operation context.

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 schema has 9 parameters and 0% description coverage, and the tool description contributes no parameter meaning. Required fields provider_id, name, and model are not even named, leaving an agent to guess what each property controls.

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

Purpose3/5

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

The description states a clear action ('Update') and a resource ('Ai Provider'), but it is nearly identical to the tool name and gives no scope detail. It does not distinguish this tool from sibling update variants like update_admin_groups_by_group_ai_providers_providers_by_p.

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 given on when to call this tool instead of create_groups_ai_providers_providers, get_groups_ai_providers_providers_by_provider, or the admin-level update sibling. An agent must infer usage solely from the word 'Update' and the tool name.

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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