Skip to main content
Glama
speakai

Speak AI MCP Server

Official
by speakai

Get Automation Details

get_automation
Read-onlyIdempotent

Retrieve detailed information about a specific automation rule, including its trigger and step graph, by providing the automation identifier.

Instructions

Get detailed information about a specific automation rule, including its trigger and step graph.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
automationIdYesUnique identifier of the automation

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoResponse payload from the Speak AI API
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the description adds value by mentioning the return includes trigger and step graph, providing context beyond safety annotations.

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

Conciseness5/5

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

Description is a single sentence, front-loaded with action and object, no unnecessary words.

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

Completeness4/5

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

With a simple single-parameter tool, annotations cover safety, and output schema exists (though not shown), the description is adequate. It hints at return structure (trigger, step graph) but could be slightly more explicit.

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?

Schema coverage is 100%, so baseline 3. The description does not add any parameter-specific details beyond the schema's description of automationId.

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 retrieves detailed information about an automation rule, including trigger and step graph. It distinguishes from sibling tools like list_automations (which lists) and create_automation (which creates).

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?

The description provides no guidance on when to use this tool vs alternatives. It does not mention that it is for a single automation by ID, nor does it compare with get_automation_runs or list_automations.

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/speakai/speakai-mcp'

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