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Mailrith Email Marketing

List segments

segments_list
Read-onlyIdempotent

Returns saved segments from the authenticated workspace. Permission: segments:read. Pagination: use bounded pages and returned cursors. API reference: https://mailrith.com/developers/api-reference.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoThe maximum number of segments to return.
searchNoFilter Segments by name or description.
starting_afterNoThe opaque cursor from the previous page of saved segments.

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

A4/5.0
Behavior4/5

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

The description adds behavioral context beyond annotations, such as the required permission ('segments:read') and pagination behavior ('use bounded pages and returned cursors'). Annotations already mark the tool as read-only and idempotent, so the description complements these nicely without contradiction.

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 extremely concise at three sentences. It front-loads the purpose, then adds permission and pagination details, and ends with an API reference link. Every sentence serves a purpose with no fluff.

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?

For a simple list tool with three parameters and an output schema, the description covers the core aspects: what it returns, required permission, and pagination. It could mention that results are paginated with opaque cursors, but the schema already covers 'starting_after'. The presence of an output schema reduces the need to explain return values. Overall, it is sufficiently complete.

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% parameter description coverage, so the description does not need to add much. The description mentions pagination but does not elaborate on individual parameters (e.g., 'search', 'starting_after'). The schema already provides adequate semantics, so a baseline score of 3 is appropriate.

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 that the tool returns saved segments from the authenticated workspace. It uses a specific verb ('returns') and resource ('saved segments'), and distinguishes itself from sibling tools like segments_get (which retrieves a single segment) by implying a list operation.

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?

The description mentions the required permission ('segments:read') and provides pagination guidance. However, it does not explicitly state when to use this tool over alternatives (e.g., segments_get for a single segment) or when not to use it. The guidance is implied rather than explicit.

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.