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send_agent_notification

Send notifications from an AI agent to a user, with customizable title, message, and category that controls delivery via in-app, email, or Slack.

Instructions

Send a notification from an AI agent to a user

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
linkNoDeep link to the relevant page in Simplified
titleYesNotification title (sentence case)
_extraNoArbitrary metadata stored in the notification's JSON field. Frontend uses `event_type` to render each card differently.
userIdYesID of the user to notify
messageYesNotification body text
categoryYesDetermines delivery channels: - `agentTaskCompleted` — in-app + websocket + email - `agentNeedsInput` — in-app + websocket + email - `agentError` — in-app + websocket + Slack (#agent-alerts) - `agentProgress` — websocket only - `agentNudge` — in-app + websocket
workspaceIdYesID of the workspace
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states the action without describing side effects, delivery mechanism, permissions, rate limits, or return behavior. Key details like channel-specific delivery (from the category parameter) are omitted from the description.

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 concise sentence with no extraneous words. It is appropriately front-loaded with the core action. However, it may be too brief given the tool's complexity, but it does not waste space.

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?

For a tool with 7 parameters (5 required, nested object), the description is insufficient. It lacks explanation of the parameters, constraints, or behavior. A single sentence does not provide enough context for an AI agent to use the tool correctly without relying entirely on the schema.

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 schema has 100% description coverage, so the baseline is 3. The description does not add any additional meaning or context to the parameters; it only repeats the overall purpose. No parameter-specific guidance is provided.

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 'Send a notification from an AI agent to a user' clearly states the action (send), the resource (notification), the agent (AI agent), and the recipient (user). It effectively distinguishes from sibling tools, which are largely unrelated (e.g., video, board, task tools).

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, when not to use it, or any prerequisites. Sibling tools are unrelated, so usage context is implicit at best. No explicit recommendations or exclusions are given.

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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