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dev-palboksoft

Slack MCP Server

slack_get_thread_replies

Retrieve all replies from a Slack message thread to view conversation history and responses in a channel.

Instructions

메시지 스레드의 모든 답장 가져오기

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channel_idYes스레드가 포함된 채널의 ID
thread_tsYesparent 메시지의 타임스탬프(형식: '1234567890.123456'). 점이 없는 경우 뒤 6자리에 점을 추가하여 변환 가능.
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 what the tool does but doesn't describe important behaviors: whether it's read-only (implied by '가져오기' but not explicit), pagination/rate limits, authentication requirements, error conditions, or what format the replies are returned in. For a tool with zero annotation coverage, this is insufficient.

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 a single, efficient sentence in Korean that directly states the tool's purpose. There's zero wasted language or redundancy. It's appropriately sized for a simple retrieval tool and gets straight to the point.

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 no annotations and no output schema, the description is incomplete. It doesn't explain what '가져오기' returns (reply objects, just text, metadata?), error handling, or operational constraints. For a tool that presumably returns multiple items (replies), more context about the response format and behavior would be helpful.

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 100%, so both parameters are well-documented in the schema. The description adds no additional parameter information beyond what's already in the schema (channel_id and thread_ts are fully described there). This meets the baseline of 3 when schema does the heavy lifting, but adds no extra value.

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 ('가져오기' - get/fetch) and resource ('메시지 스레드의 모든 답장' - all replies in a message thread). It distinguishes from siblings like slack_get_channel_history (general channel history) and slack_reply_to_thread (posting replies). However, it doesn't explicitly mention Slack as the platform, though this is implied by the tool name.

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 prerequisites (like needing a specific channel or thread), nor does it differentiate from similar tools like slack_get_channel_history which might also retrieve thread content. There's no 'when-not' or alternative tool recommendation.

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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