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damientilman

Mailchimp MCP

list_campaign_feedback

Read-only

List team collaboration feedback comments on a campaign to review internal notes and comments left by team members during campaign preparation.

Instructions

List team collaboration feedback comments on a campaign.

Use to review internal notes and review comments left by team members during campaign preparation. Use get_campaign_feedback for a single comment's details. Use get_campaign_details to find campaign IDs.

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

Args: campaign_id: Campaign ID whose feedback to list. Obtain from list_campaigns or search_campaigns. account: Optional account name (e.g. 'marketing') configured via MAILCHIMP_API_KEY_. Omit to use the default account. See list_accounts.

Returns: JSON with total_items and feedback array. Each: feedback_id, message, is_complete, block_id, created_by, created_at, updated_at.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
campaign_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 'Read-only, safe to retry' and 'Max 10 concurrent requests,' providing useful context beyond annotations without contradiction.

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 extremely concise, with clear sections: purpose, usage guidance, parameters, and return format. Every sentence is valuable and 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?

The description covers purpose, usage, parameters, and return format (including the JSON structure). Combined with annotations, it is fully complete for effective tool invocation.

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?

Schema description coverage is 0%, but the description thoroughly explains both parameters: campaign_id (with source instructions) and account (with configuration context). This adds significant meaning.

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 'List team collaboration feedback comments on a campaign,' specifying the verb and resource. It distinguishes from siblings like get_campaign_feedback and create_campaign_feedback.

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?

The description explicitly says when to use the tool, provides alternative tools (get_campaign_feedback for single details, get_campaign_details for IDs), and notes authentication, rate limits, and safety.

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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