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grncdr

Missive MCP Server

by grncdr

List Conversations

list_conversations

Lists conversations visible to the authenticated user with filters for status (inbox, assigned, closed) and search by email or domain. Supports pagination.

Instructions

Lists conversations visible to the authenticated user. Supports multiple filters and search by email/domain.

Common filter combinations:

  • inbox=true: Shows inbox conversations

  • assigned=true: Shows assigned conversations

  • closed=true: Shows closed conversations

  • email="user@example.com": Search by exact email address

  • domain="example.com": Search by email domain

Note: email and domain are mutually exclusive.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inboxNoFilter to inbox conversations
allNoShow all conversations
assignedNoFilter to assigned conversations
closedNoFilter to closed conversations
snoozedNoFilter to snoozed conversations
flaggedNoFilter to flagged conversations
trashedNoFilter to trashed conversations
junkedNoFilter to junked conversations
draftsNoFilter to conversations with drafts
shared_labelNoFilter by shared label ID
teamNoFilter by team ID
team_inboxNoFilter by team inbox
team_closedNoFilter by team closed
team_allNoFilter by team (all conversations)
organizationNoFilter by organization ID
emailNoSearch by exact email address (mutually exclusive with domain)
domainNoSearch by email domain (mutually exclusive with email)
limitNoMaximum conversations to return (max 50)
untilNoCursor for pagination (last_activity_at timestamp)
Behavior3/5

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

No annotations provided, so the description carries full burden. It mentions mutual exclusivity but lacks details on pagination behavior, rate limits, or authentication. The until parameter suggests cursor-based pagination but is not explained.

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 concise, well-structured with a main sentence, bullet points for common filters, and a final note. No unnecessary information.

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?

No output schema, so description should explain return values or pagination. It mentions until as cursor but does not describe the output structure or how pagination works. For a list tool with 19 parameters, more completeness is expected.

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 coverage is 100%, so baseline is 3. The description adds value by providing common filter combinations and highlighting mutual exclusivity, but does not significantly augment the parameter descriptions.

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 'Lists conversations visible to the authenticated user' and supports multiple filters. It distinguishes from sibling tools like list_contacts and list_teams by focusing on conversations.

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?

Provides common filter combinations and notes mutual exclusivity of email and domain. However, it does not explicitly direct when to use this tool versus other list tools or when not to use it.

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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