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livemau5

mailchimp-mcp

by livemau5

execute

Execute any Mailchimp Marketing API call by specifying method, path, query params, and body. Write operations return compact summaries; set verbose for full responses.

Instructions

Execute any Mailchimp Marketing API call. Use the search tool first to discover available endpoints and their parameters. Write operations return compact summaries by default — set verbose=true for full response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoRequest body for POST/PATCH/PUT requests (JSON object)
pathYesAPI path (e.g., "/lists", "/campaigns/{campaign_id}", "/lists/{list_id}/members")
methodYesHTTP method
paramsNoQuery parameters (e.g., { "count": "10", "offset": "0", "status": "subscribed" })
verboseNoReturn full API response. By default, write operations (POST/PATCH/PUT/DELETE) return compact summaries to save context. Set verbose=true to get the full response.
Behavior2/5

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

With no annotations, the description must carry the safety disclosure burden. It only mentions compact summaries for write operations, but omits warnings about destructive operations (DELETE/PATCH), rate limits, error handling, or authorization requirements. This is insufficient for a tool that can execute arbitrary API calls.

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 two sentences, front-loaded with the core purpose, and every clause provides actionable guidance. There is no filler or redundancy.

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

Completeness2/5

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

This is a generic executor with high complexity, no annotations, and no output schema. The description only covers search-first usage and verbose summaries, leaving critical gaps around destructive operations, error handling, pagination, and how this tool relates to the specific sibling tools.

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 coverage is 100% with meaningful descriptions for all five parameters (path examples, method enum, body/params types, verbose behavior). The description adds no semantic value beyond the schema, so the baseline 3 applies.

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 identifies the tool as a generic Mailchimp Marketing API executor with 'Execute any Mailchimp Marketing API call.' It distinguishes itself from specific sibling tools by being the catch-all, and explicitly references the search tool for discovery, making its role unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly instructs to use the search tool first for endpoint discovery, which implies this tool is for execution after discovery. It also notes the default compact summaries for write operations, but does not explicitly direct users to common sibling tools for standard operations.

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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