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SadaaYogee

Notion MCP Server

by SadaaYogee

Open Data Source Explorer

notion_open_data_source_app

Open an interactive explorer to inspect Notion data source schemas, build filters, query items, and create new entries from simple values.

Instructions

Open an interactive Notion Data Source Explorer MCP App for schema inspection, filter building, querying, and item creation from simple 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.
data_source_idNoOptional initial data source ID to inspect and query.It should be a 32-character string (excluding hyphens) formatted as 8-4-4-4-12 with hyphens (-).
Behavior3/5

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

Annotations already cover basic safety signals (readOnlyHint false, destructiveHint false). The description adds that it is interactive and can create items, but does not disclose potential side effects, prerequisites, or how the 'interactive' aspect behaves programmatically.

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 a single, efficient sentence that conveys the tool's function without unnecessary words or repetition. It is front-loaded with the core action ('Open an interactive... App').

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

Completeness4/5

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

Given the full schema coverage and no output schema, the description adequately explains the tool's purpose. However, it does not mention that the app may require user interaction or external context, and it could better contextualize when to use this over the many sibling tools.

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?

Schema description coverage is 100%, so the schema already fully documents both parameters. The description adds no additional meaning or usage notes beyond what is in the schema.

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

Purpose4/5

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

The description clearly states the tool opens an interactive app for schema inspection, filter building, querying, and item creation. It identifies a distinct high-level resource (Data Source Explorer) but does not explicitly differentiate from sibling tools like notion_inspect_data_source or notion_query_data_source.

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 on when to use this tool versus alternatives. For example, it does not clarify situations where direct operations (query_data_source, create_data_source_item) would be more appropriate than the interactive app.

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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