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Create Automation

automation_create

Creates a new automation as an inactive draft with an empty graph (node_count 0). Requires name; optional description. Status is always forced to inactive. Configure the graph via automation_update (while inactive) and activate in the Meridian dashboard. Takes the app_id returned by apps_list.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "app_id": "<app_id>",
      "name": "<name>"
    },
    "name": "automation_create"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYesDisplay name for the automation.
app_idYesThe app uuid returned by `apps_list`.
descriptionNoOptional description, up to 2,000 characters.
organization_idNoAn organisation uuid or slug. When supplied, `app_id` is resolved within that organisation and may be a slug instead of a uuid, mirroring the Meridian web app.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only say it is a non-destructive write; the description adds the non-obvious behavior that status is always forced to inactive, that the graph starts empty, and that activation is not available through this API at all. Those are exactly the constraints an agent would otherwise get wrong.

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?

Three tight sentences, front-loaded with the outcome and forced state, followed by the follow-up workflow and the id source. Nothing is redundant or padded.

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?

Covers the creation lifecycle and follow-up steps well for a mutation tool with no output schema. The one gap is that it never says what comes back (presumably the new automation's id), which the agent needs to call automation_update next.

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 all four parameters are already documented in the input schema, including app_id's provenance from apps_list. The description repeats 'Requires name; optional description' without adding format or constraint detail beyond the schema, so baseline 3 applies.

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?

States a specific verb and resource ('Creates a new automation') plus the key resulting state ('inactive draft with an empty graph, node_count 0'), which immediately separates it from automation_update. An agent knows exactly what it gets without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit routing: use this to create, then configure the graph via automation_update while inactive, then activate in the Meridian dashboard. It also names apps_list as the source of app_id, so the prerequisite step is unambiguous.

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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