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Snouzy

@m6b9/mcp-mailchimp

by Snouzy

list_interests

Get interests in a Mailchimp audience category. Provide list ID and category ID to return paginated results, with optional count and offset for control.

Instructions

List interests within a category

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of results (default 10)
offsetNoPagination offset
list_idYesThe audience/list ID
category_idYesThe interest category ID
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the basic action and does not disclose pagination behavior, default count, read-only nature, or any other side effects or nuances.

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 with no superfluous words, which is highly efficient and front-loaded.

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 being a simple list tool, the description omits important context: the need for list_id in addition to category_id, the pagination parameters, and what the response contains. The lack of an output schema and annotations leaves the agent with insufficient information.

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 input schema fully documents each parameter. The description adds only marginal reinforcement of the category_id concept but does not explain the role of list_id or the count/offset semantics beyond the schema.

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 the verb 'List', the resource 'interests', and the scope 'within a category', which distinguishes it from siblings like get_interest (single interest) and list_interest_categories (lists categories). No ambiguity.

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 explicit guidance on when to use this tool versus alternatives. It also fails to mention that both list_id and category_id are required, which is essential context for using the tool correctly.

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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