Skip to main content
Glama
karbassi

slack-mcp

by karbassi

chat_start_stream

Initiates a streaming message from an AI assistant in a specified Slack channel and thread.

Instructions

Start an AI assistant streaming message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channelYes
thread_tsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

No annotations are provided, so the description must fully explain behavior. It only says 'start', but does not disclose traits like idempotency, side effects, required permissions, or rate limits. The agent cannot assess the tool's operational impact.

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 a single sentence, which is concise, but it omits essential details. While brevity is valued, it should not sacrifice clarity; here it is under-specified.

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

Completeness1/5

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

Despite the presence of an output schema, the description is too minimal for a tool with two required parameters and no annotations. It lacks context on streaming behavior, usage scenario, and parameter roles.

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%, meaning neither the schema nor the description explains the parameters ('channel' and 'thread_ts'). The description adds no meaning beyond the raw parameter names.

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 uses a verb ('start') and identifies the resource ('AI assistant streaming message'), so the tool's primary action is understandable. However, it does not differentiate from sibling tools like 'chat_stream' or 'chat_append_stream', which could cause confusion.

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 is given on when to use this tool versus alternatives. There is no mention of prerequisites, context, or exclusions, leaving the agent without decision support.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/karbassi/slack-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server