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Mailchimp MCP by usefulapi

List templates

mailchimp_list_templates
Read-only

List the account's email templates (saved and pre-built layouts). Paginated, with optional type filter and sort. REST: GET /templates.

Input Schema

NameRequiredDescriptionDefault
typeNoFilter by template type (Mailchimp `type`: user / base / gallery).
countNoRecords to return (Mailchimp `count`; default 10, max 1000).
offsetNoNumber of records to skip (Mailchimp `offset`, for pagination).
sortDirNoSort direction ASC/DESC (Mailchimp `sort_dir`).
sortFieldNoField to sort by (Mailchimp `sort_field`, e.g. date_created / create_time).

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
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description usefully adds that results are paginated and that the operation maps to GET /templates, but says nothing about rate limits, auth scopes, or result ordering defaults.

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?

Three short sentences, front-loaded with purpose, then behavior, then the REST mapping. Every clause earns its place with no repetition or 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?

For a read-only, zero-required-param list tool with no output schema, the description covers purpose, filterability, and pagination adequately. It stops short of describing the paginated response envelope, but the annotations and full schema coverage mean little is genuinely 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%, so every parameter (type, count, offset, sortDir, sortField) is already documented in the schema. The description only restates that filtering by type and sorting exist, adding no syntax or default-value detail beyond the schema. 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?

States a specific verb (List) and resource (account's email templates), and even disambiguates scope by clarifying it covers both saved and pre-built layouts. No sibling tool lists templates, so the resource alone distinguishes it from the list_* siblings.

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?

It mentions that type filtering and sorting are optional, which implies how to narrow results, but it never states when to use this versus any alternative or any prerequisites. Usage is implied rather than guided, which fits a 3.

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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