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send_dm_message

Send a message to a direct-message conversation using a DM identifier or participant name. Supports markdown formatting in the message body.

Instructions

Send a message to a direct-message conversation. The dm argument accepts either the DM _id or a participant display name; a name resolves only to a one-to-one DM with the authenticated account. Message body supports markdown formatting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dmYesa string that will be trimmed
bodyYesa string that will be trimmed

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesThe successful tool result. The same value is also serialized as JSON in the text content for clients that do not read structuredContent.
warningsNoOptional agent-visible warnings about degraded result fidelity. Omitted when the server returned the documented happy-path payload.
Behavior4/5

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

Annotations indicate non-readonly and non-destructive behavior, which aligns with sending a message. The description adds behavioral detail (markdown support, name resolution to one-to-one DM) beyond annotations, but does not cover potential failure modes or auth requirements.

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?

Two sentences, front-loaded with the main purpose. Every sentence adds value with no wasted words.

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

Completeness5/5

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

For a tool with 2 simple parameters and an output schema, the description is complete. It covers the essential usage details and behavioral traits without needing more information.

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

Parameters4/5

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

The schema descriptions are minimal ('a string that will be trimmed'), but the description adds significant meaning: dm accepts ID or display name with resolution behavior, and body supports markdown. With 100% schema coverage, the description compensates well.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (send a message), the resource (direct-message conversation), and the markdown support. It is specific and distinguishes from sibling tools like 'send_channel_message'.

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 explains how to specify the DM (by ID or display name) and the resolution behavior, but does not explicitly state when to use this tool vs. alternatives like send_channel_message. No exclusions or alternative names 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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