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AyanoT1

tiny-notion-mcp

by AyanoT1

notion_query_database

Query a Notion database to retrieve entries as a markdown table, with an ID column for follow-up actions. Supports pagination via cursor for larger datasets.

Instructions

Query a Notion database and return results as a markdown table. Each row is one entry; columns match the database properties. An ID column is appended for follow-up reads or writes. If the response ends with 'MORE: ', pass that cursor as start_cursor to get the next batch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
database_idYesNotion database ID
limitNoMax rows to return (default 100, max 100)
start_cursorNoCursor from a previous 'MORE:' response to get the next batch
Behavior4/5

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

Though annotations are absent, the description discloses return format (markdown table), the appended ID column, and pagination behavior. This covers the main behavioral traits beyond the schema.

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?

Three sentences with no wasted words. Front-loaded with the main purpose, then adds essential details about returned format and pagination.

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?

For a simple query tool with 3 parameters, the description covers return format, added column, and pagination. It does not mention error handling or rate limits, but overall is complete enough given the tool's straightforward nature.

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 coverage is 100%, so baseline is 3. The description adds limited value: explains start_cursor usage from previous responses, but otherwise repeats schema defaults and descriptions.

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 queries a Notion database and returns results as a markdown table, with an appended ID column. This provides a specific verb and resource, but does not differentiate from sibling tools like notion_search.

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

Usage Guidelines3/5

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

The description gives guidance on pagination (pass cursor from 'MORE:' response), but no explicit when-to-use or when-not-to-use compared to alternatives. Usage is implied but not exhaustive.

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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