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Get Automation

automation_get
Read-only

Returns one automation's summary plus its graph. Send Email node data keeps emailUuid / subject but never includes emailHtml. Takes app_id and automation_id (app-local scoped_id or uuid from automations_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>",
      "automation_id": "<automation_id>"
    },
    "name": "automation_get"
  }
}

Input Schema

NameRequiredDescriptionDefault
app_idYesThe app uuid returned by `apps_list`.
automation_idYesThe automation scoped_id or uuid returned by `automations_list`.
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

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly and non-destructive, so the bar is lower, yet the description adds genuinely useful return semantics: Send Email nodes expose emailUuid and subject but never emailHtml, which warns the agent against expecting body content. It omits error behavior and whether missing automations return an error or null.

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 short sentences, front-loaded with the return shape, then the caveat, then the identifiers. Nothing is padded or redundant.

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?

A read-only single-fetch tool with full schema coverage and no output schema; the description covers what comes back and a key payload quirk. Only the organization_id resolution behavior and failure semantics are left unexplained.

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 three parameters are documented in-schema, and the description largely restates the accepted identifier forms for automation_id. It never mentions organization_id, which lets app_id be a slug, leaving that resolution nuance entirely to the schema.

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?

States a specific verb and resource: 'Returns one automation's summary plus its graph.' The singular 'one automation' implicitly distinguishes it from automations_list, but no sibling is named explicitly.

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

Usage Guidelines3/5

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

Usage is only implied by identifier provenance ('scoped_id or uuid from automations_list'), which hints you should list first. There is no explicit when-to-use versus automations_list or app_get, and no stated prerequisites 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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