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damientilman

Mailchimp MCP

list_campaigns

Read-only

Retrieve Mailchimp campaigns with details like id, status, subject, and send stats. Filter by status or send date to find specific campaigns.

Instructions

List campaigns with metadata, send stats, and filtering by status or date.

Use to browse campaigns and discover campaign IDs. Use get_campaign_details for full settings of a single campaign. Use get_campaign_report for post-send performance metrics. Use search_campaigns to find campaigns by keyword instead of browsing.

Args: count: Number of campaigns to return (1-1000, default 20). offset: Pagination offset. Use when total_items exceeds count. status: Filter by status. Valid values: 'save' (draft), 'paused', 'schedule', 'sending', 'sent'. Omit to return all statuses. since_send_time: Only return campaigns sent after this datetime. ISO 8601 format (e.g. '2025-01-01T00:00:00Z'). Only applies to sent campaigns.

Returns: JSON with total_items and campaigns array. Each campaign: id, type ('regular', 'plaintext', 'absplit', 'rss', 'variate'), status, title, subject_line, preview_text, send_time (ISO 8601 or null), emails_sent, list_id, list_name.

Example: list_campaigns(count=10, status="sent") -> {"total_items": 42, "campaigns": [{"id": "abc123", "status": "sent", ...}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
offsetNo
statusNo
accountNo
since_send_timeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate readOnlyHint=true. Description adds pagination behavior and filtering context. No contradictions, but does not disclose any additional behavioral traits beyond what annotations imply.

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: overview, usage guidelines, parameter list, return format, example. Front-loaded and no fluff.

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

Completeness4/5

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

Covers main parameters, output shape, and example. The missing 'account' parameter reduces completeness slightly, but overall adequate for a list tool with output schema.

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

Parameters4/5

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

Schema coverage is 0%, but description adds meaning for count, offset, status, and since_send_time with valid values and format. However, it omits the 'account' parameter present in the schema, which is a gap.

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 it lists campaigns with metadata and filtering, and explicitly distinguishes from sibling tools like get_campaign_details, get_campaign_report, and search_campaigns.

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?

Provides explicit guidance on when to use this tool (browse, discover IDs) and when to use alternatives, including specific method names.

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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