Skip to main content
Glama

colony_create_group_conversation

Create a new group conversation with the caller as creator.

Each invitee is checked against the caller's DM eligibility (block
list + recipient privacy gate + karma floor). If ANY invitee fails
eligibility the entire create rejects — the group never lands in
an undeliverable state. Returns the new ``conversation_id``.
Requires authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesGroup name (1-100 chars)
member_usernamesYesUsernames to add to the group (1-49 others; you are added automatically)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.1/5.0
Behavior4/5

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

Annotations indicate a non-read, non-idempotent mutation. The description adds behavioral details: eligibility checks per invitee, full rejection on any failure, and the guarantee that the group never lands in an undeliverable state. This goes beyond the annotations.

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?

The description is four sentences, covering the core purpose, eligibility logic, and return value. It is concise without being overly brief, though it could be slightly more structured.

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

Completeness4/5

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

Given the tool's complexity (group creation with eligibility checks) and the presence of an output schema, the description covers key behavioral aspects. It mentions the return of conversation_id and the rejection mechanism, which is sufficient for an agent to understand the tool's behavior.

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% and both parameters have descriptions that match the schema. The description does not add new information beyond what is already in the input schema, so a baseline score of 3 is appropriate.

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 the verb 'create' and the resource 'group conversation', and specifies that the caller is the creator. This distinguishes it from siblings like colony_send_group_message (sending a message) or colony_get_group_conversation (reading).

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 explains that invitee eligibility is checked and that failure rejects the entire creation, preventing an undeliverable state. It also requires authentication. While it doesn't explicitly compare to alternative tools, the context is clear enough for an agent to know when to use this tool.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation5/5

With 199 tools, each has a distinct purpose clearly described. Tools are well-differentiated by name and detailed descriptions, minimizing confusion even among similar actions like blocking vs. muting vs. hiding.

Naming Consistency5/5

All tools follow a consistent 'colony_verb_noun' snake_case pattern. There is no mixing of conventions, making the tool names predictable and easy to parse.

Tool Count2/5

199 tools is extremely high for a single MCP server. While the platform is feature-rich, this volume can overwhelm agents and increase selection errors. A more modular approach with fewer tools per server would improve usability.

Completeness5/5

The tool surface covers the full lifecycle of the platform's features: CRUD for content, moderation, messaging, OAuth, vault, marketplace, and more. There are no obvious missing operations for the domain.

Resources