Skip to main content
Glama

get_ai_action_invocation

Retrieve the result of a previous AI Action invocation using its AI Action ID, invocation ID, space ID, and environment ID from Contentful.

Instructions

Get the result of a previous AI Action invocation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aiActionIdYesThe ID of the AI Action
invocationIdYesThe ID of the specific invocation to retrieve
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 the description does not disclose behavioral traits. It doesn't indicate that the operation is read-only, nor does it mention any required permissions, rate limits, or side effects. The description adds no behavioral context beyond the basic purpose.

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 sentence that directly states the tool's purpose. It is front-loaded with the action 'Get'. While concise, it sacrifices some helpful context like what an invocation result entails.

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

Completeness3/5

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

Given the tool has 4 required parameters and no output schema, the description provides minimal context. It tells what the tool does but not what the result contains or any prerequisites (e.g., invocation must exist). Adequate but with 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, so the schema already explains each parameter's meaning. The description does not add any additional semantics or relationships between parameters. Baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool gets the result of a previous AI Action invocation. It distinguishes from siblings like invoke_ai_action (which starts an invocation) and get_ai_action (which retrieves the action definition) by specifying 'result' and 'previous invocation'.

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 vs alternatives. For example, it doesn't mention that this should be used after invoking an AI action, or that to get the action definition one should use get_ai_action. No when-not-to-use or prerequisite info.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ivo-toby/contentful-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server