Get account
mailchimp_get_accountGet the API Root — the authenticated Mailchimp account: account name, total subscribers, contact info, plan and industry stats. REST: GET /.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
mailchimp_get_accountGet the API Root — the authenticated Mailchimp account: account name, total subscribers, contact info, plan and industry stats. REST: GET /.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"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 adds useful context that this is the API root for the authenticated account and hints at authentication, but says nothing about rate limits, caching, or error behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two compact clauses: the resource identity is front-loaded, the returned fields follow, and the REST endpoint is appended. Every element earns its place with no filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
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 principal returned fields (name, subscriber total, contact info, plan, industry stats) and the REST path. It is nearly complete for a zero-parameter read tool; only the exact response shape is left unspecified.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline is 4. The description correctly implies no inputs are needed, and there is nothing for it to disambiguate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('Get') and resource (the authenticated Mailchimp account / API root), then enumerates exactly what is returned: account name, total subscribers, contact info, plan and industry stats. This is clearly distinguishable from siblings like mailchimp_get_audience or mailchimp_get_member, which target narrower resources.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied: an agent can infer this is the account-level overview call, but the description never states when to prefer it over mailchimp_get_audience or the list_* siblings. No exclusions or prerequisites are given.
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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