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karbassi

slack-mcp

by karbassi

chat_append_stream

Append markdown text chunks to an existing AI assistant message in a Slack channel. Use this to continue a streaming response.

Instructions

Append text to an AI assistant streaming message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tsYesTimestamp of the streaming message to append to (e.g. ``1700000000.000100``).
channelYesID of the channel containing the stream (e.g. ``C0123``).
markdown_textYesMarkdown-formatted text chunk to append (max 12,000 characters).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Does not disclose behavioral traits beyond the basic action. No mention of rate limits, authentication, or what happens if the stream is not active. With no annotations, the description bears full burden but adds minimal context.

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?

Single sentence, no wasted words, front-loaded with the core action. Efficiently states purpose.

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?

For a simple tool, description is adequate but lacks context about the streaming lifecycle. Could mention relationship with chat_start_stream and chat_stop_stream.

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 covers 100% of parameters with descriptions. The description rephrases schema content but adds no new meaning, so baseline 3 is appropriate.

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 clearly states the verb 'Append' and the resource 'AI assistant streaming message', distinguishing it from siblings like chat_post_message and chat_start_stream.

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?

No guidance on when to use this tool versus alternatives such as chat_post_message or chat_start_stream. No mention of prerequisites like needing an active stream.

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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