Skip to main content
Glama
oddrationale

groupme-mcp-server

by oddrationale

list_conversations

Read-onlyIdempotent

Retrieve your GroupMe conversations, sorting groups and direct messages by recent activity. Includes message previews and member counts, plus the IDs needed to read messages or fetch context.

Instructions

List the user's GroupMe conversations, most recently active first.

Use this first, whenever you need to find a conversation or the ids the other tools take: it merges groups and direct-message chats into one recency-sorted list with last-message previews and member counts. Every entry carries the group_id or other_user_id that read_messages and get_conversation_context need.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoWhich conversations to include - ``"groups"``, ``"dms"``, or ``"all"`` (default).all
limitNoMaximum conversations to return (1-100).
response_formatNo``"concise"`` (default) for names, previews, and relative ages; ``"detailed"`` adds descriptions, share URLs, creator ids, and ISO timestamps.concise

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
countYes
conversationsYes
Behavior4/5

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

Beyond the annotations (readOnlyHint, idempotentHint, etc.), the description adds meaningful behavioral detail: recency ordering, merging of groups and DMs, inclusion of 'last-message previews and member counts,' and the presence of the IDs that downstream tools require. This goes beyond simply echoing the read-only safety profile.

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?

Three tight sentences: the first states the core purpose, the second gives direct usage guidance, and the third explains the output's value for sibling tools. Every sentence earns its place with no filler or redundancy.

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?

Given the rich input schema (100% parameter coverage), full annotations, and presence of an output schema, the description is complete for an agent to select and invoke the tool correctly. It explains the tool's role, output characteristics, and how the returned IDs connect to other tools.

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 three parameters. The description adds contextual color like 'merges groups and direct-message chats' and 'last-message previews and member counts,' but it does not substantially enrich the parameter semantics beyond what the schema already states.

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 opens with a specific action and resource: 'List the user's GroupMe conversations, most recently active first.' It also distinguishes itself from siblings by explaining that it 'merges groups and direct-message chats into one recency-sorted list' and provides the IDs that other tools need.

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 description explicitly states when to use it: 'Use this first, whenever you need to find a conversation or the ids the other tools take.' It references sibling tools that consume its output ('read_messages and get_conversation_context'), though it does not explicitly contrast it with search_messages or other siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/oddrationale/groupme-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server