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List conversations

list_conversations
Read-onlyIdempotent

List WhatsApp conversations, newest activity first. Filters: awaiting_reply (customer sent the last message over an hour ago and nobody answered — the same definition the inbox UI uses), status (open/archived/all, default open), labels (at least one of the given label ids), is_group, stage_id (contact sits in that pipeline stage; list_pipelines gives the ids), circle_id (contact is in that circle; list_circles gives the ids; needs the read_circles scope). Paginate with next_cursor. get_follow_up_queue is the wider "what needs attention" view, adding alarms, overdue tasks and signals.

Input Schema

NameRequiredDescriptionDefault
limitNo
cursorNo
labelsNo
statusNo
is_groupNo
stage_idNo
circle_idNo
awaiting_replyNo

Output Schema

NameRequiredDescriptionDefault
noticeNo
next_cursorYes
conversationsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / circle_id
      Added value: +{
      +  "pattern": "^\\d{1,18}$",
      +  "type": "string"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / stage_id
      Added value: +{
      +  "exclusiveMinimum": 0,
      +  "type": "integer"
      +}
  3. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description's job is to add operational detail — which it does: newest-activity sort, default open status, cursor-based pagination, and the read_circles scope requirement for circle_id. It doesn't state whether limit has a default value or what happens when next_cursor is exhausted.

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

Conciseness4/5

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

Front-loaded with the verb, resource and sort order, then filters in a scannable run. It is dense and long, but nearly every clause is load-bearing (filter semantics, id sources, scopes); only the parenthetical UI-equivalence note borders on extra.

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?

Eight optional parameters, no output-schema gap to fill, and every filter with non-obvious semantics is explained. An agent could call this correctly — including paginating and resolving stage/circle ids — from the description alone.

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

Parameters4/5

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

With 0% schema description coverage, the description carries the full burden and largely meets it: awaiting_reply is defined precisely (customer sent last message >1h ago with no answer, matching the inbox UI), labels is clarified as OR-semantics ("at least one"), and stage_id/circle_id reference the tools that supply their ids. limit and cursor are only partially covered — pagination is mentioned but the name in the schema is "cursor" and no default limit is given.

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 and resource ("List WhatsApp conversations") plus the default ordering ("newest activity first"). This clearly separates it from get_conversation (single item), list_bot_conversations (bot-only), and get_follow_up_queue (wider attention view) without needing the schema.

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

Usage Guidelines4/5

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

Names an explicit alternative (get_follow_up_queue) and the condition that selects it, and documents the default status=open so the agent knows the unfiltered call already excludes archived chats. It stops short of the full when/when-not matrix — nothing says when to prefer search_messages_and_contacts or list_bot_conversations over this.

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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