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Mailchimp MCP by usefulapi

Search members

mailchimp_search_members
Read-only

Search for members across the account (or one audience) by email, name or other fields. Returns exact + full-text matches. REST: GET /search-members.

Input Schema

NameRequiredDescriptionDefault
queryYesThe search query (email, name, etc.).
list_idNoRestrict the search to this audience (list) id.

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

A3.6/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe read, so the description's burden is lower. It does add one genuinely useful behavioral fact beyond annotations: results include exact plus full-text matches. It says nothing about pagination, result caps, or the response shape, so it stops short of rich behavioral context.

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 tight sentences; the purpose and scope come first, match behavior second, and the REST endpoint last. No filler and nothing buried.

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?

For a two-parameter, fully documented, read-only search tool this covers what an agent needs: what it searches, the optional scoping, and the nature of the matches. Without an output schema it could say slightly more about return shape or result limits, but nothing essential is missing.

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%, with both 'query' and 'list_id' documented in the schema itself. The description restates that list_id scopes to one audience and that query can be email/name, adding only marginal meaning, which is the expected baseline when the schema does the heavy lifting.

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 (search) and resource (members) plus the scope: entire account or a single audience, with the searchable fields named (email, name, other fields). The only gap is that it never explicitly distinguishes itself from sibling mailchimp_list_members or mailchimp_get_member, so the agent must infer that this is the query-driven lookup rather than the enumeration tool.

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?

The parenthetical '(or one audience)' implies the choice between account-wide search and list-scoped search when a list_id is supplied, which is useful. However, there is no explicit when-to-use guidance versus list_members (browse/all) or get_member (known id), so the routing decision is left to inference.

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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