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damientilman

Mailchimp MCP

get_audience_abuse_report

Read-only

Retrieve details of a specific spam complaint report to inspect which member and campaign triggered the complaint.

Instructions

Retrieve the details of a single abuse (spam) complaint report for an audience.

Use to inspect which member and campaign a specific complaint relates to. Use list_audience_abuse_reports to browse all reports and discover report_id values.

Authenticated via API key. Max 10 concurrent requests. Read-only, safe to retry.

Args: list_id: Audience/list ID (10-char alphanumeric, e.g. 'abc123def4'). Obtain from list_audiences. report_id: The abuse report ID. Obtain from list_audience_abuse_reports. account: Optional account name (e.g. 'marketing') configured via MAILCHIMP_API_KEY_. Omit to use the default account. See list_accounts.

Returns: JSON with id, campaign_id, list_id, email_id, email_address, merge_fields, vip (boolean), date (ISO 8601). Returns error if list_id or report_id is invalid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
list_idYes
report_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds that it is 'read-only, safe to retry', mentions authentication via API key, and concurrency limit of 10. This adds context beyond annotations, though rate limits are not detailed.

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 well-structured with a clear purpose statement, usage guidance, parameter list, and return value description. Every sentence adds value, and it is appropriately front-loaded.

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

Completeness5/5

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

Given the tool's complexity (3 params, output schema described), the description covers all necessary aspects: purpose, parameters, return value, error case, and cross-references to sibling tools for ID retrieval. It is complete for an agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description fully compensates by providing detailed parameter documentation: format examples, how to obtain IDs, optional account parameter explanation. This adds significant meaning beyond the input schema.

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 states the tool retrieves details of a single abuse complaint report, with specific verb and resource. It distinguishes from sibling tool list_audience_abuse_reports, which lists all reports.

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

Usage Guidelines5/5

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

Explicitly says when to use (inspect a specific complaint) and when to use alternative (list_audience_abuse_reports to browse and get report_id). Also provides authentication and concurrency guidance.

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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