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bcharleson

Slack MCP Server

get_thread_replies

Retrieve all replies from a Slack message thread by providing channel ID and thread timestamp. Returns threaded messages for review or analysis.

Instructions

    Get all replies in a message thread.

    Args:
        channel_id: The ID of the channel containing the thread (e.g., "C01234567")
        thread_ts: The timestamp of the parent message
        limit: Maximum number of replies to return (1-1000). Default: 20

    Returns:
        Dictionary containing the thread messages
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channel_idYes
thread_tsYes
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 mentions the return format ('Dictionary containing the thread messages') but lacks details on permissions needed, rate limits, pagination behavior, or error conditions. For a read operation with zero annotation coverage, this leaves significant gaps in understanding how the tool behaves.

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 efficiently structured with a clear purpose statement followed by well-organized parameter and return sections. Every sentence adds value without redundancy, and the information is front-loaded appropriately for quick comprehension.

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 (3 parameters, read operation) and the presence of an output schema (though not detailed in the context), the description covers the basics adequately. However, it lacks important contextual details like authentication requirements, rate limits, or how to handle large result sets, which would be helpful for a robust implementation.

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 adds substantial meaning beyond the input schema, which has 0% description coverage. It explains what 'channel_id' and 'thread_ts' represent with examples, clarifies the 'limit' parameter's range and default value, and documents the return value. This compensates well for the schema's lack of descriptions.

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 tool's purpose with the verb 'Get' and resource 'all replies in a message thread', making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'get_channel_history' or 'reply_to_thread', which could handle similar message-related queries.

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. It doesn't mention sibling tools like 'get_channel_history' for broader message retrieval or 'reply_to_thread' for adding replies, leaving the agent without context for tool selection.

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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