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List Inbox conversations

list_conversations
Read-onlyIdempotent

List Inbox conversations: direct messages, reviews and comment threads across the connected channels, newest activity first. Each conversation has its platform, kind (dm, review or comment), the other person, unread count, a preview of the last message, and canReply with replyNotice saying why a reply cannot be sent now. Internal team notes are not included. Results are paged: pass nextCursor back as cursor for the next page. The Inbox is part of the Pro and Business plans; on other plans, or before it is available to the account, the call is refused with a message saying so. Use this when the user asks about their direct messages, reviews or comment threads, or what is waiting for a reply.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoSearch the person's name and handle and the message text (2 to 100 characters).
kindNoOnly direct messages, reviews or comment threads. Omit for all.
limitNoPage size, 1 to 100 (default 50).
cursorNonextCursor from the previous page.
statusNoopen (default), archived or snoozed.
assignedNome, unassigned, or a teammate's user id.
channelIdNoOnly this channel.
platformsNoOnly these platforms, e.g. ["instagram", "facebook"].

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalNoHow many conversations match the filters, across every page.
offsetNoWhere this page started when paging by position; 0 when paging by cursor.
nextCursorNoPass back as cursor for the next page; null on the last page.
conversationsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior5/5

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), and the description still adds substantial context beyond them: newest-activity-first ordering, the exclusion of internal team notes, the canReply/replyNotice mechanism, cursor-based paging, and the Pro/Business plan gate that causes a refusal with an explanatory message. That is genuinely useful behavior an agent cannot infer from structured fields.

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 and resource, then ordering, contents, exclusions, pagination, plan gate, and when-to-use — each sentence carries distinct information. It is dense rather than padded, though the field-level enumeration of conversation contents is arguably redundant given the output schema exists.

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?

For a paged, plan-gated list tool with eight optional filters and an output schema, the description covers everything an agent needs: what is returned at a summary level, what is excluded, how to page, and the failure mode on non-Pro plans. The output schema handles return-value detail, so nothing material is missing.

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 all eight parameters are already documented, including the q, kind, limit, cursor, status, assigned, channelId and platforms filters. The description only reinforces the cursor round-trip ('pass nextCursor back as cursor'), which is a minor addition over the schema's own wording. Baseline 3 applies.

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 Inbox conversations') and immediately enumerates the three kinds it spans (direct messages, reviews, comment threads). This distinguishes it from get_conversation (single item) and list_post_comments (post-scoped) without the agent opening a 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?

The final sentence gives a clear triggering condition: 'Use this when the user asks about their direct messages, reviews or comment threads, or what is waiting for a reply.' It also flags the plan prerequisite and the refusal behavior. It does not explicitly name which sibling to use instead for a single conversation or for post comments, so it falls short of a 5.

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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