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KalebJS

groupme-mcp

by KalebJS

list_direct_messages

Retrieve direct message conversations with a specific user in GroupMe, allowing filtering by message ID to access historical or recent exchanges.

Instructions

List direct messages with another user.

Args:
    other_user_id: The ID of the other user in the conversation.
    before_id: Return messages created before this message ID.
    since_id: Return messages created after this message ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
other_user_idYes
before_idNo
since_idNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a read-only operation ('List') but doesn't specify permissions, rate limits, pagination, or response format. This is inadequate for a tool with parameters and no output schema.

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 front-loaded with the core purpose in the first sentence, followed by a structured parameter explanation. It's efficient with minimal waste, though the 'Args' section could be integrated more seamlessly.

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 3 parameters, no annotations, and no output schema, the description is incomplete. It lacks behavioral details (e.g., pagination, ordering, error cases) and doesn't explain the return values, leaving significant gaps for the agent to navigate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description includes an 'Args' section that explains all three parameters, adding meaning beyond the input schema (which has 0% description coverage). It clarifies that 'other_user_id' is required and describes the temporal filtering roles of 'before_id' and 'since_id', effectively compensating for the schema gap.

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 verb ('List') and resource ('direct messages with another user'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'list_messages' or 'list_chats', which might have overlapping functionality.

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_messages' or 'list_chats', nor does it mention prerequisites or exclusions. The agent must infer usage from the name and parameters alone.

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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