Skip to main content
Glama
Snouzy

@m6b9/mcp-mailchimp

by Snouzy

create_segment

Create a new segment in a Mailchimp audience. Provide list ID and name, then choose static emails or conditional match rules to define the segment.

Instructions

Create a new segment (static or saved/conditional)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesSegment name
matchNoMatch condition for saved segments
list_idYesThe audience/list ID
conditionsNoArray of condition objects for saved segments
static_segmentNoArray of email addresses for static segment
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It indicates a mutating action ('Create') but does not mention required permissions, side effects, or response behavior. The distinction between static and saved/conditional is a slight behavioral hint, but it falls far short of what is needed for a mutation tool.

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?

A single, front-loaded sentence that conveys the essential purpose without waste. It is appropriately concise and easy to parse.

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?

For a tool with 5 parameters, no annotations, and no output schema, the description is too thin. It does not explain what the tool returns, how the segment types differ in usage, or any behavioral details. This leaves significant gaps for an agent to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with each parameter having a description, so baseline is 3. The description adds value by grouping parameters into static vs saved/conditional segments, which helps infer which parameters are relevant together. This goes slightly beyond 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?

The description clearly states the action 'Create a new segment' with a specific resource. The parenthetical '(static or saved/conditional)' adds useful distinction and differentiates it from sibling tools like list_segments or update_segment. However, it does not explicitly contrast with create_audience, though segment vs audience is reasonably clear.

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?

No guidance is provided on when to use this tool versus alternatives, nor any indication of prerequisites or how static vs saved segments are chosen. The description just states the action with no usage context.

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