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KalebJS

groupme-mcp

by KalebJS

create_bot

Create a new automated bot within a GroupMe group to manage messages, notifications, and interactions through customizable settings.

Instructions

Create a new bot in a group.

Args:
    name: The bot's display name.
    group_id: The ID of the group the bot belongs to.
    avatar_url: Optional avatar image URL for the bot.
    callback_url: Optional URL to receive message callbacks.
    dm_notification: Whether the bot should receive DM notifications.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
group_idYes
avatar_urlNo
callback_urlNo
dm_notificationNo
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Create') but doesn't explain what happens after creation (e.g., bot permissions, default settings, or response format). It mentions optional parameters but doesn't clarify their effects (e.g., what 'dm_notification' enables). For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

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 well-structured and appropriately sized: a clear purpose statement followed by a bulleted list of parameters. Each sentence earns its place by conveying essential information without redundancy. It could be slightly more front-loaded with key behavioral details, but overall it's efficient and readable.

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

Completeness2/5

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

Given the complexity (a mutation tool with 5 parameters), no annotations, and no output schema, the description is incomplete. It covers the basic action and parameters but misses critical context: what the bot can do after creation, error conditions, permissions needed, or what the tool returns. For a tool that creates a resource, this leaves too many unknowns for effective agent use.

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 0%, so the description must compensate. It lists all 5 parameters with brief explanations (e.g., 'The bot's display name'), adding basic semantics beyond the schema's titles. However, it doesn't provide format details (e.g., URL validation for 'avatar_url'), constraints, or examples, leaving parameters partially documented but not fully clarified.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create a new bot') and resource ('in a group'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'post_as_bot' or 'destroy_bot' beyond the basic verb, missing explicit comparison that would warrant a score of 5.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'list_bots' or 'destroy_bot'. It lacks context about prerequisites (e.g., group ownership/permissions) or scenarios where this tool is appropriate, offering only basic functional information without usage context.

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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