Skip to main content
Glama
Snouzy

@m6b9/mcp-mailchimp

by Snouzy

list_segments

Retrieve audience segments from Mailchimp by list ID, filterable by segment type (saved, static, fuzzy) with pagination.

Instructions

List segments for an audience

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoSegment type filter
countNoNumber of results (default 10)
offsetNoPagination offset
list_idYesThe audience/list ID
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only gives a high-level operation. It does not state whether the operation is read-only, whether authentication is required, or how pagination and type filters affect results. The schema includes count and offset, but the description does not explain their behavioral implications.

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 a single, efficient sentence with no filler. It is appropriately short and gives the core purpose immediately. It earns a top score for conciseness and front-loading.

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

Completeness2/5

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

Despite having four parameters, no annotations, and no output schema, the description fails to convey what a caller should expect from the response or how typical usage works. It does not explain the meaning of 'segment type' or pagination defaults, leaving significant gaps for a tool with this complexity.

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 provides detailed descriptions for all four parameters (100% coverage), so the description adds no additional semantic value. The tool's one-sentence overview does not enrich parameter understanding beyond the schema. This meets the baseline for schema-covered parameters.

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?

The description clearly states the action (list) and resource (segments) scoped to an audience. It distinguishes from sibling tools like get_segment (single segment) and list_segment_members (members of a segment), though it does not explicitly contrast them. The phrase 'for an audience' aligns with the required list_id parameter.

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 such as get_segment or list_segment_members. It does not mention prerequisites, typical use cases, or when a different tool might be more appropriate. This is a clear gap in usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Snouzy/m6b9-mcp-mailchimp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server