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Mailchimp MCP by usefulapi

Get member

mailchimp_get_member
Read-only

Get a single audience member (subscriber) by email or subscriber_hash, including status, merge fields, tags and stats. REST: GET /lists/{list_id}/members/{subscriber_hash} (email → MD5 hash).

Input Schema

NameRequiredDescriptionDefault
emailNoMember email address — MD5-hashed (lowercased) into the subscriber_hash for you.
list_idYesThe audience (list) id.
subscriberHashNoThe subscriber_hash (MD5 of lowercased email) or contact id, if you have it instead of `email`.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true), so the bar is lower. The description adds real context beyond that: the fields returned (status, merge fields, tags, stats), the underlying REST endpoint, and the email→MD5 hashing behavior.

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?

Two dense sentences, front-loaded with the core purpose and return contents, with the lookup mechanics and REST endpoint trailing. No filler.

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?

With no output schema, the description compensates by enumerating the returned fields and the lookup semantics. An agent has what it needs to call it correctly; only the absence of explicit sibling routing keeps it short of perfect.

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 description coverage is 100%, so the schema already documents email, list_id, and subscriberHash thoroughly, including the MD5 hashing note. The description only restates the email/hash duality, adding no meaning beyond the schema; baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get a single audience member (subscriber)'), names the two lookup keys, and lists the returned content. The word 'single' implicitly distinguishes it from list_members/search_members, but it never names a sibling explicitly.

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

Usage Guidelines3/5

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

Usage is only implied: the singular lookup implies you call this when you already know the email or subscriber_hash, versus the list/search siblings. There is no explicit 'use this when... instead of...' guidance or exclusion.

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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