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ohneben

ActiveCampaign MCP

list_conversations

Read-onlyIdempotent

Retrieve a list of WhatsApp conversations, with optional filtering by contact, search term, and pagination.

Instructions

🟢 READ-ONLY · Whatsapp · GET /channel/whatsapp/inbox/conversation

List Conversations

Fetches data. Makes no changes to your ActiveCampaign account.

Lists Conversations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoA page number within the paginated result set.
limitNoNumber of results per page (ActiveCampaign default 20, max 100).
offsetNoZero-based offset into the result set for pagination.
ordersNoSort order as an object, e.g. {"email":"ASC"} → orders[email]=ASC.
searchNoA search term.
contactNoA Contact Id to filter the Conversations and only get those from that Contact.
filtersNoField filters as an object, e.g. {"name":"ecom"} → filters[name]=ecom.
page_sizeNoNumber of results to return per page.
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description repeats that it fetches data and makes no changes, aligning with annotations but adding no new behavioral insights beyond the emoji and HTTP method.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short but somewhat repetitive ("List Conversations" appears twice). It includes an emoji and HTTP path but could be more concise by removing redundancy.

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

Completeness3/5

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

While the schema covers parameters well, the description does not clarify pagination behavior (e.g., interplay of page, offset, page_size) or response structure, leaving some gaps for a complete understanding.

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 the schema already documents all parameters. The tool description adds no additional meaning or usage details for the parameters.

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?

The description clearly states the tool lists conversations and is read-only. However, it does not differentiate from sibling tools like list_all_contacts or list_all_deals, missing an opportunity to specify its unique scope.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, nor are filters, pagination, or other parameters explained in terms of usage context.

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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