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list_ai_actions

List all AI Actions in a Contentful space. Use filters for status, pagination with limit and skip parameters. Requires space ID and environment ID.

Instructions

List all AI Actions in a space

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of AI Actions to return
skipNoNumber of AI Actions to skip for pagination
statusNoFilter AI Actions by status
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
Behavior2/5

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

No annotations provided, and description does not disclose behavioral traits such as read-only nature, pagination behavior, or any side effects. The description is minimal and fails to compensate for the absence of annotations.

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

Conciseness4/5

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

The description is a single, concise sentence that is front-loaded and to the point. However, it omits important context, which slightly reduces effectiveness.

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 has 5 parameters, no output schema, and no annotations, the description is too sparse. It does not explain what AI Actions are or what the response entails, leaving significant gaps for an AI agent.

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?

Input schema covers all 5 parameters with descriptions (100% coverage). The description does not add additional meaning beyond the schema, but the schema itself is fairly complete, so a baseline score of 3 is appropriate.

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?

Description clearly states it lists AI Actions in a space, using a specific verb and resource. It differentiates from other list tools (e.g., list_assets) by specifying 'AI Actions', but could be more distinct from get_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 guidance on when to use this tool versus alternatives like get_ai_action or search tools. Lacks context on appropriate use cases or exclusions.

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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