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Snouzy

@m6b9/mcp-mailchimp

by Snouzy

list_conversation_messages

Retrieve messages in a Mailchimp conversation thread by conversation ID, with options for pagination and filtering by read status.

Instructions

List messages in a conversation thread

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of results (default 10)
offsetNoPagination offset
is_readNoFilter by read status
conversation_idYesThe conversation 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 says 'List messages,' implying a read operation, but does not disclose behavior such as pagination, sorting, read status filtering, or response format. This is insufficient for a tool with 4 parameters and no output schema.

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 sentence with zero wasted words. It is concise and front-loaded, conveying the core purpose immediately.

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 4 parameters and no output schema, the description only says 'List messages.' It omits return format, pagination details, and any behavioral context. The schema covers parameters, but the description is too thin to be considered complete for an agent to use it 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 coverage is 100%, so the baseline is 3. The description adds no parameter-specific meaning beyond what the schema already provides, which is acceptable but does not elevate the score.

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 tool lists messages in a conversation thread, using a specific verb and resource. It is distinct from sibling tools like list_conversations, but does not explicitly differentiate itself.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'in a conversation thread' implies when to use this tool, but there is no explicit guidance on prerequisites (e.g., needing a conversation_id) or when to choose it over alternatives like get_conversation or list_members.

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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