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Glama

Mailrith Email Marketing

Get an automation

automations_get
Read-onlyIdempotent

Returns one automation from the authenticated workspace. Permission: automations:read. API reference: https://mailrith.com/developers/api-reference.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
automation_idYesThe automation identifier.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
responseNo
request_idYesThe stable correlation ID for this MCP tool invocation.
operation_idYesThe stable Mailrith public API operation ID.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is well covered. The description adds useful context about the required permission ('automations:read') and workspace scope, exceeding what annotations provide.

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?

The description is one concise sentence followed by permission and an API reference link. Every element earns its place, with no redundancy or filler.

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

Completeness5/5

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

This is a simple retrieval tool with one parameter, a rich set of annotations, and an output schema. The description covers the essential additional context (permission, workspace scope) and is complete for its intended use.

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% coverage with automation_id described as 'The automation identifier.' The description adds no additional parameter semantics beyond that, so it does not exceed the baseline of 3 for high schema coverage.

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 states 'Returns one automation from the authenticated workspace,' which is a specific verb+resource with clear scope. This distinguishes it from automations_list (which would return multiple) and other sibling tools like automations_update.

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

Usage Guidelines4/5

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

The description clearly implies use when retrieving a single automation by ID, stating 'returns one automation.' It does not explicitly mention alternatives like automations_list for multiple automations, but the context is unambiguous and there are no exclusions or misleading statements.

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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TDQS

A3.8/5.0
Disambiguation5/5

Every tool is prefixed by its resource and targets a unique action, so there is no real overlap between tools. Even similar operations like preflight, preview_journey, and send_test are clearly separated by resource and described with distinct effects.

Naming Consistency5/5

All tools follow a consistent `resource_action` snake_case pattern, e.g., broadcasts_create, subscribers_upsert, sequences_update_status. Custom verbs like cancel, unschedule, and preview_journey still fit the same predictable convention.

Tool Count1/5

55 tools is an extreme count for a single MCP server, making it difficult for an agent to efficiently discover and choose among the surface. While each tool appears justified, the size suggests the API should be split into focused servers by resource domain.

Completeness3/5

The broadcast, automation, sequence, and subscriber workflows are well covered with lifecycle operations. However, custom fields and segments only have read/list/preview operations with no create, update, or delete, and several resources lack delete endpoints, leaving notable gaps for full lifecycle management.