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BusyBee3333

Mailchimp MCP Server

by BusyBee3333

mailchimp_audiences_get_segments

Retrieve all segments for a Mailchimp audience using its list ID, with optional filtering by segment type, creation/update dates, and pagination to manage which records to return.

Instructions

Get all segments for a list/audience

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by segment type
countNoNumber of records to return
offsetNoNumber of records to skip
list_idYesList/audience ID
since_created_atNoFilter segments created after (ISO 8601)
since_updated_atNoFilter segments updated after (ISO 8601)
before_created_atNoFilter segments created before (ISO 8601)
before_updated_atNoFilter segments updated before (ISO 8601)
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits, but it only states the basic action. It does not mention pagination (despite count/offset parameters), default behavior, response structure, or any permissions or side effects. The agent cannot infer important operational details from this description alone.

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, concise sentence that immediately conveys the core purpose. It is front-loaded and contains no unnecessary words, earning a perfect score for conciseness.

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?

Given the tool has eight parameters, no output schema, and no annotations, the description is insufficiently complete. It does not explain return values, pagination behavior, or the meaning of 'segments' (e.g., saved vs static vs fuzzy). This leaves significant gaps for an agent trying to use the tool effectively.

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 description coverage is 100%, so the schema already documents all eight parameters. The description adds no additional meaning beyond what the schema provides, which aligns with the baseline of 3. It does not explain how filters interact or what the default values are.

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 'Get all segments for a list/audience' clearly identifies the action (get), the resource (segments), and the scope (list/audience). It is specific and directly reflects the tool name, though it does not explicitly distinguish this from sibling tools like mailchimp_lists_get_segments, which presumably serve a similar purpose.

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. It does not mention any exclusions or suggest related tools for different scenarios, such as getting a single segment or creating segments. This leaves the agent without context for tool selection.

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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