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KalebJS

groupme-mcp

by KalebJS

list_chats

Retrieve your recent direct message conversations from GroupMe with pagination controls to manage chat history display.

Instructions

List the authenticated user's direct message conversations, sorted by most recent.

Args:
    page: Page number for pagination.
    per_page: Number of chats per page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
per_pageNo
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that the tool lists conversations (a read operation) and mentions sorting behavior, but lacks details on permissions, rate limits, error handling, or what the output looks like. It adds some behavioral context but is incomplete for a tool with zero annotation coverage.

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 front-loaded with the core purpose in the first sentence, followed by a concise parameter explanation. Every sentence earns its place by adding necessary information without redundancy, making it efficient and well-structured.

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?

Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is partially complete. It covers the purpose and parameters well but lacks output details, error handling, and differentiation from siblings, leaving gaps for the agent to navigate effectively.

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

Parameters5/5

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

The description adds significant value beyond the input schema, which has 0% description coverage. It explicitly explains that 'page' is for pagination and 'per_page' controls the number of chats per page, providing clear semantics that the schema's titles ('Page', 'Per Page') alone do not convey.

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 message conversations', specifying they belong to the authenticated user and are sorted by most recent. However, it doesn't explicitly differentiate from sibling tools like 'list_direct_messages' or 'list_groups', which reduces clarity about when to choose this specific tool.

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?

No guidance is provided on when to use this tool versus alternatives like 'list_direct_messages' or 'list_groups'. The description implies it's for direct messages but doesn't clarify exclusions or prerequisites, leaving the agent to infer usage from context 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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