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send_dm

Destructive

Send a direct message to a Slack user, with optional Block Kit blocks for rich formatting like nested lists.

Instructions

Send a direct message to a user. Optionally pass Block Kit blocks as a JSON string for rich formatting (e.g. nested lists via rich_text blocks). When blocks is provided, message is used as the plaintext fallback.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
blocksNo
messageYes
user_idYes
unfurl_linksNo
unfurl_mediaNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already convey that this is a side-effectful operation (readOnly=false, destructiveHint=true), lowering the burden. The description adds real behavioral detail beyond annotations: blocks must be a JSON string, rich_text blocks are supported, and message acts as the plaintext fallback. It does not cover unfurl behavior, but nothing contradicts the annotations.

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?

Three sentences with no filler: the first states the action, and the next two concisely explain the optional block behavior and fallback semantics. Information is front-loaded and every sentence earns its place.

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

Completeness4/5

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

For a small side-effectful tool with an output schema and annotations, the core call semantics are covered: recipient, message text, optional rich formatting, and fallback behavior. The main gap is the undocumented unfurl parameters, but they have defaults and self-explanatory names.

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 description coverage is 0%, so the description must compensate. It does explain blocks (JSON string, rich formatting) and message (fallback role), but it says nothing about unfurl_links or unfurl_media, leaving those to inference from their names and defaults.

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 opening sentence, 'Send a direct message to a user', states a clear verb and resource. It implies a 1:1 user recipient, which helps distinguish it from channel-oriented tools, but it does not explicitly name siblings like post_message or send_group_dm.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the appropriate context by saying 'to a user' and gives useful formatting guidance, but it never states when to prefer this tool over post_message, send_group_dm, or post_command. There are no explicit exclusions or alternative routing cues.

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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