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Slack MCP Server

Slack MCP Server

by dev-palboksoft
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

slack_reply_to_thread

Reply to a specific message thread in Slack by providing channel ID, thread timestamp, and message text to maintain organized conversations.

Instructions

Slack에서 특정 메시지 스레드에 답장

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "channel_id": "<channel_id>",
      "thread_ts": "<thread_ts>",
      "text": "<text>"
    },
    "name": "slack_reply_to_thread"
  }
}

Input Schema

NameRequiredDescriptionDefault
channel_idYes스레드가 포함된 채널의 ID
thread_tsYesparent 메시지의 타임스탬프(형식: '1234567890.123456'). 점이 없는 경우 뒤 6자리에 점을 추가하여 변환 가능.
textYes답장할 메시지 내용

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
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 states the tool replies to a thread, implying a write operation, but lacks details on permissions required, rate limits, error conditions, or what happens if the thread doesn't exist. This is a significant gap for a mutation 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 a single, efficient sentence in Korean that directly states the tool's purpose without any wasted words. It is appropriately sized and front-loaded, making it easy to understand at a glance.

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 tool's complexity (a write operation with no annotations and no output schema), the description is incomplete. It lacks behavioral details like success/error responses, side effects, or integration with sibling tools. While the schema covers parameters well, the overall context for safe and effective use is insufficient.

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?

The schema description coverage is 100%, so the schema already documents all three parameters thoroughly. The description adds no additional meaning beyond what the schema provides, such as explaining parameter relationships or usage examples. Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('답장' meaning 'reply') and the target resource ('특정 메시지 스레드' meaning 'specific message thread') in Slack. It distinguishes from sibling tools like 'slack_post_message' (general posting) by specifying thread replies, though it doesn't explicitly contrast with other siblings like 'slack_add_reaction'.

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 (e.g., needing a thread to reply to), exclusions, or comparisons to siblings like 'slack_post_message' for non-threaded messages or 'slack_get_thread_replies' for reading instead of writing.

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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