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damientilman

Mailchimp MCP

get_campaign_sent_to

Read-only

Retrieve the list of recipients a sent campaign was delivered to, including delivery status (sent or bounced). Audit exactly who received your campaign and identify delivery issues.

Instructions

List the members a sent campaign was delivered to, with per-recipient status.

Use to audit exactly who received a campaign and whether each delivery succeeded or bounced. Paginate with count and offset for large recipient lists. Use get_campaign_report for aggregate stats instead.

Args: campaign_id: Sent campaign ID. Obtain from list_campaigns or search_campaigns. count: Recipients to return (1-1000, default 10). offset: Pagination offset. Use when total_items exceeds count.

Returns: JSON with total_items and sent_to array. Each: email_id, email_address, status ('sent'/'bounced'), open_count, absplit_group, gmt_offset, merge_fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
offsetNo
accountNo
campaign_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

The description adds context beyond annotations (readOnlyHint=true). It details the returned data per recipient, pagination behavior, and that it's for auditing. No contradiction.

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 well-structured with a summary line, usage guidance, Args section, and Returns section. Every sentence adds value; no fluff.

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 presence of output schema (the tool's return is described), the description covers all necessary context: purpose, parameter details, pagination, and return format. Complete for a read-only list operation.

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 description coverage, the description thoroughly explains all parameters: campaign_id (how to obtain), count (range and default), offset (pagination use). Provides meaningful guidance.

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 lists members a sent campaign was delivered to, with per-recipient status. It uses specific verbs ('List', 'audit') and distinguishes from sibling get_campaign_report for aggregate stats.

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 (audit delivery status) and when not to use (use get_campaign_report for aggregate stats). Also provides pagination guidance with count and offset.

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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