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bugzy-ai

simple-slack-mcp-server

by bugzy-ai

slack_get_channel_history

Retrieve messages from a Slack channel in chronological order. Use to browse the full conversation flow including bot messages, with pagination support.

Instructions

Get messages from a channel in chronological order. Use this when: 1) You need the latest conversation flow without specific filters, 2) You want ALL messages including bot/automation messages, 3) You need to browse messages sequentially with pagination. Do NOT use if you have specific search criteria (user, keywords, dates) - use slack_search_messages instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of messages to retrieve (default 100)
cursorNoPagination cursor for next page of results
channel_idYesThe ID of the channel. Use this tool for: browsing latest messages without filters, getting ALL messages including bot/automation messages, sequential pagination. If you need to search by user, keywords, or dates, use slack_search_messages instead.
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses chronological order, inclusion of bot messages, and pagination support, but omits rate limits, authentication requirements, or any potential side effects. Moderate disclosure.

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?

Description is brief (2 sentences plus a list) and front-loaded with the primary action. The list format aids readability, though the second sentence partially repeats schema info. Very efficient overall.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple fetch tool with 3 parameters and no output schema, the description covers purpose, usage conditions, and pagination. Does not describe return format, but this is mitigated by the schema descriptions. Adequate for the tool's complexity.

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% with detailed parameter descriptions (e.g., channel_id includes usage guidance, limit has default and bounds). The tool description adds no extra semantic value beyond the schema, meeting the baseline for high coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool retrieves messages from a channel in chronological order. It distinguishes from sibling tools by specifying use cases and explicitly naming an alternative (slack_search_messages) for filtered searches.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit when-to-use conditions (three numbered points) and a clear when-not-to-use condition (specific search criteria). Directs to an alternative tool, offering actionable guidance.

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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