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alien-lifestyles

mailchimp-mcp-alien-lifestyles

mc_listConversationMessages

Retrieve messages from a specific Mailchimp conversation using its unique ID. Control the number of results with count and offset parameters.

Instructions

List messages in conversation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of records to return (default: 10, max: 1000)
offsetNoNumber of records from a collection to skip (default: 0)
conversationIdYesThe unique ID for the conversation
Behavior2/5

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

No annotations are present, so the description carries the full burden of disclosing behavior. It fails to mention ordering, default pagination, or any side effects. The description is too minimal to provide meaningful transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise—a single phrase. While it avoids wasted words, it lacks structure and fails to front-load important context. It is more under-specified than efficiently concise.

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 lack of output schema, the description should explain return values (e.g., list of message objects, ordering). It does not cover pagination, default count, or any behavioral defaults. The description is incomplete for a list operation.

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 parameters. The description adds no additional parameter context or usage tips. A baseline of 3 is appropriate as it does not detract but also does not enhance understanding.

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 states the verb (list) and resource (messages in conversation) clearly. It distinguishes from siblings like mc_listConversations, as it specifies messages within a conversation. However, it could be more specific about scope (e.g., all messages or paginated?).

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 on when to use this tool vs alternatives like mc_getConversation or mc_listConversations. The description does not mention prerequisites or context, leaving the agent to infer usage solely from the name and required parameter.

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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