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notion_update_database

Update a Notion database's title, description, or properties by providing a JSON file path. Specify the database ID and file path to apply changes.

Instructions

IMPORTANT: You MUST write the JSON payload to a file first, then pass the file path in 'file_path'. Updates database title, description, or properties.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
extractNoResponse fields to extract. If omitted, returns recommended fields: ['id', 'url']. Use ['none'] to return all fields.
file_pathYesPath to file containing updates (JSON). JSON should include 'title', 'description', or 'properties'.
database_idYesDatabase ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It prominently discloses a critical behavioral requirement: the JSON payload must be written to a file first and the file path passed. This is essential for correct invocation. It also implies a write operation via 'Updates'. However, it does not disclose what the response contains or any side effects on existing properties, which could be relevant.

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?

The description is two sentences with zero redundancy. The critical file-path instruction is front-loaded with an IMPORTANT marker, making it impossible to miss. Every word serves a purpose and the structure is efficient.

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?

The description captures the essential calling convention and purpose, but omits guidance on when to choose this tool over similar ones, expected return format, and any behavioral nuances (e.g., whether existing properties are merged or overwritten). Given the absence of an output schema and the presence of a relevant extract parameter, additional context on return values 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%, so parameters already have descriptions. The description adds meaningful value by explaining what the file_path should contain ('JSON should include title, description, or properties'), which directly clarifies the expected payload structure beyond the schema's generic 'Path to file containing updates (JSON)'. This compensates for the schema's brevity on content.

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 states a specific action ('Updates') and a specific resource ('database') with a clear scope ('title, description, or properties'). This distinguishes it from sibling tools like notion_update_page and notion_update_block. The purpose is immediately clear and unambiguous.

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?

No guidance is provided about when to use this tool versus the many sibling tools. It does not mention scenarios, alternatives, or exclusions. The only contextual hint is the resource type ('database'), but no explicit 'use this when...' statement exists.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.