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SunCreation

MCP Notion Server (@suncreation)

by SunCreation

notion_retrieve_database

Retrieve Notion database content in JSON or Markdown format to read, analyze, or modify workspace data through the MCP Notion Server.

Instructions

Retrieve a database in Notion

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
database_idYesThe ID of the database to retrieve.It should be a 32-character string (excluding hyphens) formatted as 8-4-4-4-12 with hyphens (-).
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.markdown
Behavior2/5

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 states 'retrieve' which implies a read-only operation, but doesn't clarify if this requires specific permissions, rate limits, or what the response looks like (e.g., structure, size limits). For a tool with zero annotation coverage, this leaves significant gaps in understanding how it behaves beyond the basic action.

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, clear sentence with zero wasted words. It's appropriately sized for a simple retrieval operation and front-loads the essential information ('retrieve a database').

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?

Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is minimally adequate but incomplete. It states what the tool does but lacks behavioral context, usage guidance, and output information. Without annotations or output schema, the agent must infer behavior from the description alone, which is insufficient for confident tool selection and invocation.

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 fully documents both parameters. The tool description adds no additional parameter information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

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 verb 'retrieve' and the resource 'a database in Notion', making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'notion_retrieve_page' or 'notion_query_database', which also retrieve Notion content but target different resources or operations.

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. For example, it doesn't mention when to choose 'notion_retrieve_database' over 'notion_query_database' (which might retrieve filtered database items) or 'notion_retrieve_page' (for page content). The input schema's 'format' parameter description offers some usage hints, but the tool description itself lacks explicit when-to-use context.

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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