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Snouzy

@m6b9/mcp-mailchimp

by Snouzy

get_interest

Retrieve detailed information about a specific interest in a Mailchimp audience. Supply the list, category, and interest IDs to get the data.

Instructions

Get details of a specific interest

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
list_idYesThe audience/list ID
category_idYesThe interest category ID
interest_idYesThe interest 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. It only states 'Get details of a specific interest', which reveals the basic read behavior but does not disclose return format, error handling, required permissions, or any constraints. It adds minimal behavioral context beyond the tool name.

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, front-loaded sentence that is concise and free of unnecessary words. It effectively communicates the core purpose without padding.

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

Completeness3/5

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

The description plus the well-documented schema give the agent the essential purpose and required parameters. However, without an output schema or mention of what 'details' includes, the description is adequate but lacks depth for a complete understanding of the tool's response.

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 100% coverage with descriptions for all three parameters (list_id, category_id, interest_id). The description itself adds no parameter details, so the baseline of 3 applies, as the schema does the heavy lifting.

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 verb 'Get' and the resource 'details of a specific interest', indicating a read operation for a single interest. It distinguishes from list_interests by using 'specific', but does not explicitly name any sibling tool, so it stops short of full differentiation.

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 about when to use this tool versus alternatives like list_interests or get_interest_category. The description simply restates the operation without adding context such as prerequisites or intended use cases.

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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