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damientilman

Mailchimp MCP

create_batch

Destructive

Submit multiple API operations as a single asynchronous batch request to handle bulk tasks beyond individual request limits.

Instructions

Submit multiple API operations as a single asynchronous batch request.

Use for bulk operations exceeding other tool limits (e.g. batch_subscribe max 500). Operations run asynchronously; poll with get_batch_status. Each operation runs independently. Because a batch can wrap arbitrary DELETEs, this tool is classified destructive so a gateway treats it with the same caution as a delete.

Args: operations: JSON array of operations. Each requires: method ('GET'/'POST'/'PATCH'/'PUT'/ 'DELETE'), path (API endpoint, e.g. '/lists/abc123/members'), optional body (JSON string).

Returns: JSON with id (batch ID for get_batch_status), status ('pending'), total_operations, submitted_at.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
operationsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare destructiveHint: true. The description adds context on why (arbitrary DELETEs) and explains asynchronous behavior, which extends beyond the annotation.

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?

Well-structured with front-loaded purpose, usage, and parameter detail. Slightly verbose but each section adds value; could tighten the destructive explanation.

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?

Covers purpose, usage, async behavior, destructive classification, parameter details, and return value. Output schema exists, so no need to detail return structure further.

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

Parameters3/5

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

Schema has 2 params with 0% coverage. Description explains operations as JSON array with method, path, and optional body but fails to mention the account parameter, leaving some ambiguity.

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 submits multiple API operations as a single asynchronous batch request, distinguishing it from sibling tools like batch_subscribe by mentioning limits.

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 provides when to use (bulk operations exceeding limits) and mentions alternatives (batch_subscribe). Covers async nature and polling with get_batch_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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