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karbassi

slack-mcp

by karbassi

chat_stop_stream

Stop an active AI assistant streaming message in a specified Slack channel using the channel ID and message timestamp.

Instructions

Stop an AI assistant streaming message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tsYesTimestamp of the streaming message to stop (e.g. ``1700000000.000100``).
channelYesID of the channel containing the stream (e.g. ``C0123``).

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 bears full burden for behavioral disclosure. 'Stop' implies mutation, but no details are given about side effects (e.g., whether the stream is terminated immediately, if undelivered content is lost) or necessary permissions. This is insufficient for a mutating tool.

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?

The description is a single, focused sentence with no wasted words. However, it could improve by including key context without sacrificing conciseness, so a slight deduction from a top score.

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?

Despite having an output schema and simple parameters, the description omits important context such as success behavior, error conditions, or the requirement that a stream must be active. This lack of completeness hinders effective tool use.

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 input schema has 100% coverage with descriptions for both 'ts' and 'channel'. The tool description adds no additional meaning beyond what the schema already provides, so it meets the baseline of 3.

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 verb 'Stop' and the resource 'AI assistant streaming message', making the tool's purpose clear. However, it does not differentiate from sibling tools like chat_start_stream or chat_append_stream beyond the name, preventing a top score.

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 (e.g., chat_delete or chat_update). There is no mention of prerequisites, such as an active stream being required, nor any conditions where the tool should not be used.

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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