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damientilman

Mailchimp MCP

create_account_export

Initiate an export of Mailchimp account data by specifying categories such as lists, campaigns, reports, or ecommerce. Poll the export job until complete, then access the download URL.

Instructions

Start an account export job covering the requested categories of account data.

Use to request a downloadable archive of account data; poll get_account_export until the status is finished, then read download_url. Use list_account_exports to check existing exports before starting a new one.

Args: include_stages: List of stage names to include in the export (e.g. ['lists', 'campaigns', 'reports', 'ecommerce']). Each named category is added to the export archive.

Returns: JSON with export_id, status, started (ISO 8601), finished (ISO 8601 or null), size_in_bytes, download_url.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
include_stagesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations provide no behavioral hints beyond non-destructiveness. Description adds transparency about asynchronous nature, polling requirement, and return of download URL. Does not mention rate limits or data retention but sufficiently discloses workflow.

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?

Concise, with front-loaded purpose and usage, followed by parameter details. Every sentence adds value with no redundancy.

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?

Tool has output schema and description explains return fields. Parameters are covered. Lacks error conditions or prerequisites but is sufficient for most use cases.

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 explains include_stages with examples and meaning. Account parameter is optional and nullable but lacks explanation. Overall, description adds value beyond 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 it starts an account export job covering requested categories. It distinguishes from sibling tools like list_account_exports and get_account_export by specifying the action and workflow.

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 tells when to use it (request archive), how to poll for completion, and suggests checking existing exports with list_account_exports before starting a new one.

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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