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damientilman

Mailchimp MCP

create_template

Create a reusable email template by providing HTML content. Save designs for use in multiple campaigns later.

Instructions

Create a new reusable email template from HTML content.

Use to save HTML email designs for reuse across campaigns. Retrieve template HTML later via get_template_default_content for use with set_campaign_content. Use list_templates to browse existing templates. Do not use for one-off emails; use set_campaign_content directly instead.

Authenticated via API key. Max 10 concurrent requests. Respects read-only and dry-run modes.

Args: name: Display name for the template (e.g. 'Monthly Newsletter v2'). html: Complete HTML content. Must be valid HTML with inline CSS for email client compatibility. Mailchimp merge tags (e.g. |FNAME|, |UNSUB|) are supported. folder_id: Optional template folder ID to organize the template. Obtain from the Mailchimp web UI.

Returns: JSON with id (int, new template ID), name, type ('user'), active (boolean), date_created.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
htmlYes
folder_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations, the description fully covers behavioral traits: authentication via API key, max 10 concurrent requests, read-only/dry-run support, and merge tag support.

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

Conciseness4/5

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

Well-structured with separate sections for description, usage, args, and returns. Slightly long but every sentence adds value, and it's front-loaded with core purpose.

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

Completeness5/5

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

Given the tool's complexity and the presence of an output schema, the description still covers input constraints, behavioral limits, and return fields comprehensively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema coverage, the description adds clear meaning for each parameter: name as display name with example, html as valid HTML with inline CSS and merge tags, folder_id from Mailchimp UI.

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 tool creates reusable email templates from HTML, distinguishing it from one-off email tools like set_campaign_content and browsing tools like list_templates.

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

Usage Guidelines5/5

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

Explicitly says when to use (save reusable designs) and when not to (one-off emails), and directs to alternatives like set_campaign_content and get_template_default_content.

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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