send_slack_message
Send a Slack message.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| channel | Yes | ||
| message | Yes |
Send a Slack message.
| Name | Required | Description | Default |
|---|---|---|---|
| channel | Yes | ||
| message | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the burden of disclosing behavioral traits. It simply states 'Send a Slack message' without mentioning any specifics such as whether it sends to a channel by name or ID, delivery expectations, or authentication requirements. This is a minimal disclosure with no added behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise at one sentence, which is appropriate for a simple tool. It front-loads the core action without fluff. However, it is so sparse that it barely adds value beyond the tool's name, though it is not tautological.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity, the description is complete in terms of overall function, but it lacks crucial context for an AI agent selecting among many communication tools. There is no guidance on when to use send_slack_message vs. reply_slack or send_teams_dm, and no output schema or behavioral notes, making it insufficient for a multi-tool environment.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description needs to compensate for the lack of parameter details. It does not mention channel or message at all, leaving the agent to infer from the parameter names alone. No format, usage constraints, or examples are provided.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool sends a Slack message, naming the specific platform and action. However, it does not differentiate from sibling tools like reply_slack or send_teams_dm, which also send messages, so it lacks sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool instead of alternatives. With siblings like reply_slack and search_slack, the description gives no context on whether to use this for new messages vs. replies, and no exclusions or prerequisites are mentioned.
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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