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readSlackChannel

Retrieve conversation history from any Slack channel, including thread replies, to review past discussions or analyze team communication. Specify a time range and message limit for targeted retrieval.

Instructions

Retrieves conversation history from a specified Slack channel, including thread replies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of messages to return
latestNoEnd of time range (timestamp)
oldestNoStart of time range (timestamp)
channelYesChannel ID or name (with or without # prefix)
includeThreadsNoWhether to include thread replies
Behavior3/5

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

No annotations are provided, so the description carries the burden of explaining behavior. It states the read-only nature and thread inclusion, but it does not disclose details like message ordering, pagination behavior, or authentication requirements. It is adequate for a simple read operation but not richly transparent.

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, tightly worded sentence that front-loads the primary action and resource. Every word earns its place, with no redundant or filler content.

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 read tool with all parameters documented in the schema, this description is mostly complete. It captures the core purpose and thread behavior, but since there is no output schema, a bit more detail on return format could be helpful; still, the tool is straightforward enough that the description suffices.

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 the schema already documents all parameters. The description adds minimal semantic value beyond saying 'including thread replies,' which aligns with the includeThreads parameter but does not explain parameter usage details.

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?

The description uses a specific verb ('Retrieves') and resource ('conversation history from a specified Slack channel'), clearly distinguishing it from sibling tools like listSlackChannels (lists channels) and postSlackMessage (writes messages). The mention of thread replies further clarifies the scope.

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

Usage Guidelines4/5

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

The context is clear: this tool is for reading conversation history from a Slack channel, including thread replies. However, it does not explicitly state when to use it instead of alternatives or mention any exclusions, though the sibling context makes the use case fairly obvious.

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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