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Send automation test email

test_automation
Destructive

Send a test email for an automation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesAutomation ID (from list_automations)
recipientsNoTest recipient email addresses. When omitted, the automation's stored recipients are used.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoConfirmation that the test email was sent, and who it went to. A test does not change the schedule or count as a run.
successYesTrue when the call succeeded.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedOutput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • changedOutput schema / properties / success / description
      Previous value: -"True when the call succeeded. A failure comes back as an error result instead."New value: +"True when the call succeeded."
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already mark this as destructive (destructiveHint: true) and not read-only, so the safety profile is established. The description's 'Send a test email' states the core action and is consistent with those annotations, though it adds no extra detail about side effects or delivery behavior. No contradiction.

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, front-loaded sentence with no filler or redundancy. It is concise and to the point, though it omits any usage or side-effect context that would make it more informative.

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 fully described input schema, an output schema, and annotations covering the destructive nature, the description is sufficient for an agent to understand the operation. It lacks explicit usage guidance, but the core purpose and parameters are fully specified elsewhere.

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%; both id and recipients have clear descriptions, including the fallback to stored recipients when recipients is omitted. The description adds no parameter-level meaning beyond the schema, so the baseline of 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?

The description uses a specific verb ('Send') and resource ('test email for an automation'), making the tool's purpose immediately clear. It is distinct from sibling automation tools like create_automation or pause_automation, and the title reinforces the same intent.

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 versus alternatives, and it does not mention any exclusions, prerequisites, or related tools such as test_connection or get_automation_history. An agent must infer usage context from the name alone.

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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