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create_ai_action

Create an AI action in Contentful by defining a customizable prompt template with variables, selecting a model type and temperature, and specifying the target space and environment.

Instructions

Create a new AI Action

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name of the AI Action
descriptionYesThe description of the AI Action
instructionYesThe instruction object containing the template and variables
configurationYesThe model configuration
testCasesNoOptional array of test cases for the AI Action
spaceIdYesThe ID of the Contentful space. This must be the space's ID, not its name, ask for this ID if it's unclear.
environmentIdYesThe ID of the environment within the space, by default this will be called Mastermaster
Behavior1/5

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

Annotations are absent, so the description must disclose behavioral traits. It does not: no mention of idempotency, side effects, authentication, validation, or response behavior. The single sentence is insufficient.

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

Conciseness3/5

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

The description is very concise (one sentence) but lacks substantive content. While it is not verbose, it sacrifices informativeness for brevity, making it only adequate.

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?

Given the tool complexity (7 parameters, nested objects, no output schema), the description is incomplete. It does not explain the return value, creation flow, or how to handle the response, leaving critical gaps.

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

Parameters3/5

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

The input schema has 100% description coverage, providing clear meaning for each parameter. The description adds no value beyond this, which meets the baseline expectation.

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 'Create a new AI Action,' which clearly identifies the action and resource, but it is a near-tautology of the tool name and does not provide additional context to distinguish it from sibling tools like update_ai_action.

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 usage guidance is provided. The description does not specify when to use this tool versus alternatives such as update_ai_action or publish_ai_action, nor does it mention prerequisites or restrictions.

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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