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SadaaYogee

Notion MCP Server

by SadaaYogee

Create Item From Values

notion_create_data_source_item_from_values

Create a Notion database item by providing simple property values; the tool automatically converts common property types based on the data source schema.

Instructions

Create a new page item in a Notion data source using simple property values instead of raw Notion property JSON. The server retrieves the data source schema and converts common property types for you: title, rich_text, number, checkbox, select, status, multi_select, date, url, email, phone_number, relation, and people. Use notion_inspect_data_source first when you need valid property names or option values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoSpecify the response format. 'json' returns the original data structure, 'markdown' returns a more readable format. Use 'markdown' when the user only needs to read the page and isn't planning to write or modify it. Use 'json' when the user needs to read the page with the intention of writing to or modifying it.
valuesYesSimple property values keyed by exact Notion property name. Examples: { Name: 'Task', Status: 'Done', Tags: ['AI', 'MCP'], Due: '2026-05-04', Done: false }.
data_source_idYesThe ID of the data source to add the item to. It should be a 32-character string (excluding hyphens) formatted as 8-4-4-4-12 with hyphens (-).
Behavior4/5

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

Annotations indicate create mutation, and the description adds behavioral context by specifying common property type conversion (title, rich_text, etc.) and that it simplifies values. No contradictions with 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?

Two sentences, first states purpose, second gives guidance. No redundant words, front-loaded with key action.

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

Completeness3/5

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

Covers purpose, conversion behavior, and usage tip, but missing return value description (no output schema). Given 3 parameters and no output schema, a brief note on what is returned would improve completeness.

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?

Schema coverage is 100%, and description adds value by explaining the conversion concept and providing examples for the 'values' parameter. The 'format' parameter is well-documented in schema, so no extra needed.

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 it creates a new page item in a Notion data source using simple property values instead of raw JSON, distinguishing it from sibling tools like notion_create_data_source_item (raw JSON) and notion_create_data_source (creates the data source itself).

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

Usage Guidelines4/5

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

Explicitly advises to use notion_inspect_data_source first for valid property names or option values, providing a clear when-to-use alternative. However, it lacks explicit statements about when not to use this tool versus other creation tools.

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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