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damientilman

Mailchimp MCP

send_campaign

Send a campaign immediately to all targeted recipients with emails delivering within minutes.

Instructions

Send a campaign immediately to all targeted recipients. Emails begin delivering within minutes.

Use for immediate delivery. The campaign must have content set via set_campaign_content and be in 'save' (draft) status. Use schedule_campaign instead to send at a future time. Use send_test_email first to preview the email before sending to real recipients. Once sent, emails cannot be recalled.

Authenticated via API key. Subject to Mailchimp API rate limits (max 10 concurrent requests). This operation is irreversible. Respects read-only and dry-run modes.

Args: campaign_id: The campaign ID to send (e.g. 'abc123def4'). Must be in 'save' status with content set. Obtain from create_campaign or list_campaigns(status='save').

Returns: JSON with fields: status ("sent"), campaign_id. Returns error if the campaign has no content, is already sent, or is in schedule status (use unschedule_campaign first).

Example: send_campaign(campaign_id="abc123") -> {"status": "sent", "campaign_id": "abc123"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
campaign_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations, description fully discloses: immediate delivery, irreversible operation, respects read-only/dry-run, authentication, rate limits, error conditions for missing content or wrong status.

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?

Well-structured with front-loaded purpose, concise paragraphs, and clear bullet-point arguments. Every sentence adds value without redundancy.

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 one simple parameter and no annotations, description covers all necessary context: prerequisites, constraints, return format, error handling, and example. Output schema exists but description still explains return values.

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?

Schema has 0% coverage, but description adds complete meaning: campaign_id format, prerequisite status, and source functions. Goes beyond schema requirements.

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 'Send a campaign immediately to all targeted recipients', specifying the verb, resource, and action. It distinguishes from siblings like schedule_campaign and set_campaign_content.

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 states when to use ('immediate delivery'), when not to use (schedule_campaign for future, send_test_email first), and prerequisites (content set, 'save' status).

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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