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notion_create_dashboard

Destructive

Creates a Notion dashboard from your free-text objective. Provide structured inputs to customize the dashboard according to your needs.

Instructions

Run the notion domain agent action create_dashboard.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

D1.6/5.0
Behavior1/5

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

The description provides no information about side effects, destructive potential, permissions, or what happens when the action is executed. It only mentions routing through a dispatcher under JWT/tenant/company scope, which is infrastructure detail, not behavioral transparency. The annotations already indicate destructive behavior, and the description adds nothing beyond that.

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 short and well-structured, with a clear separation of description and args. However, the content is overly generic and does not pack meaningful information into the concise format. It is appropriately sized in length but lacks substance, making it average in terms of effectiveness.

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?

Given the large number of sibling tools and the specificity of the action name, the description is severely incomplete. It does not tell the agent what a dashboard is, what the action does, what parameters to include in `inputs`, what output to expect, or when to use it. The agent would not be able to effectively invoke this tool based on the description alone.

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

Parameters2/5

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

The description gives generic one-line explanations for `message` and `inputs`: 'Free-text objective' and 'Optional JSON string of structured inputs.' These are not specific to `create_dashboard`, so the agent learns nothing about what content to provide or what structured inputs are expected. The explanations are marginally helpful but insufficient for meaningful use.

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

Purpose2/5

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

The description essentially restates the tool name by saying 'Run the notion domain agent action `create_dashboard`.' It does not explain what creating a dashboard involves, what a dashboard is, or how it differs from other Notion tools. The routing detail adds infrastructure context but does not clarify the tool's core purpose.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool, what problem it solves, or when to prefer it over sibling tools like `notion_update_view` or other domain-agent actions. No alternative tools or conditions for use are mentioned, leaving the agent completely uninformed about selection.

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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