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Snouzy

@m6b9/mcp-mailchimp

by Snouzy

list_templates

List Mailchimp email templates with optional filters for type, count, and offset. Retrieve a paginated set of templates to review or select for campaigns.

Instructions

List Mailchimp email templates

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by template type
countNoNumber of results (default 10)
offsetNoPagination offset
Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It only states the operation name, omitting details like pagination (count/offset), filtering by type, and the response format. For a read-only list operation, this minimal context may be insufficient for an agent to predict behavior.

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 with no wasted words. It is concise and to the point, which is ideal for a simple list operation.

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 tool is simple and the schema is well-defined, but the description lacks important context. Without an output schema or annotations, it does not clearly convey pagination behavior or filter options. It is minimally viable but leaves gaps in what an agent can expect.

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 fully documents all three parameters (type, count, offset) with descriptions, giving a baseline of 3. The description itself adds no extra parameter semantics beyond repeating the resource name, so it neither improves nor detracts from the schema's coverage.

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 'List Mailchimp email templates' clearly states the action (list) and the resource (Mailchimp email templates). It distinguishes the tool from siblings like list_audiences, list_campaigns, and list_template_folders, which target different resources.

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 that get_template should be used for retrieving a single template, or that list_template_folders is for folders. No exclusions or context are provided.

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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