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karbassi

slack-mcp

by karbassi

chat_stop_stream

Interrupt an AI assistant's streaming message in a Slack channel and thread by providing the channel ID and thread timestamp.

Instructions

Stop an AI assistant streaming message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channelYes
thread_tsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only states 'Stop', which implies mutation, but does not explain side effects (e.g., whether the streamed message is deleted or if the stream can be resumed).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise (one sentence, 6 words). While brevity is positive, it sacrifices necessary detail. The structure is simple but front-loads the action.

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 existence of sibling streaming tools and the potential complexity, the description is incomplete. It does not mention that a stream must be active, what the output schema returns, or how this tool relates to chat_start_stream and chat_stream.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the two required parameters (channel, thread_ts). Their meanings are not clarified beyond the parameter names, which may be ambiguous without context.

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 ('Stop') and the resource ('AI assistant streaming message'), making the purpose immediately understandable. However, it does not differentiate from sibling tools like chat_start_stream or chat_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?

The description provides no guidance on when to use this tool versus alternatives. No context about prerequisites (e.g., an active stream) or conditions for stopping.

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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