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damientilman

Mailchimp MCP

send_test_email

Send a test email to preview addresses without affecting your audience or send limits. Requires campaign content to be set.

Instructions

Send a test/preview email to specific addresses without affecting the real audience.

Side effect: sends a real email. Tests do not count against send limits and are not tracked in reports. Campaign must have content set via set_campaign_content. Recommended before send_campaign or schedule_campaign.

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

Args: campaign_id: Campaign ID (e.g. 'abc123def4'). Must have content set. test_emails: Comma-separated emails (e.g. 'me@co.com,team@co.com'). Max 10 per request. send_type: Format: 'html' (default) or 'plaintext'.

Returns: JSON with status ("test_sent"), campaign_id, test_emails array. Error if no content set.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
campaign_idYes
test_emailsYes
send_typeNohtml

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Despite no annotations, the description covers side effects (sends real email), limits (not counted, max 10 concurrent), prerequisites, auth, and modes, fully disclosing behavioral traits.

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?

The description is well-structured and front-loaded with purpose, but slightly verbose with multiple sections; still, each sentence earns its place.

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 no annotations and moderate complexity, the description covers purpose, usage, parameters, returns, prerequisites, and limits, making it complete for reliable tool invocation.

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?

With 0% schema description coverage, the description adds meaning for all three parameters: campaign_id (example, must have content), test_emails (comma-separated, max 10), send_type (default html, options), going beyond the bare schema.

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 sends a test/preview email to specific addresses without affecting the real audience, distinguishing it from siblings like send_campaign and schedule_campaign.

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 recommends using this tool before send_campaign or schedule_campaign, and notes that campaign must have content set via set_campaign_content, providing clear when-to-use guidance.

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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