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get_property_definition

Retrieve property definitions for survey summaries in Notion to understand data structure and fields for conducting and reviewing surveys.

Instructions

Get property definition for survey summary

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • server.py:86-90 (handler)
    The main handler function for the 'get_property_definition' tool. It is decorated with @mcp.tool(), which registers the tool with the MCP server. The function retrieves the property definitions from the Notion database specified by root_database_id and returns them.
    @mcp.tool()
    def get_property_definition():
        """Get property definition for survey summary"""
        return notion.databases.retrieve(root_database_id)["properties"]
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 only states the action ('Get'), implying a read operation, but lacks details on permissions, rate limits, error handling, or what 'property definition' entails (e.g., format, scope). This is inadequate for a tool with zero annotation coverage.

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, direct sentence with no wasted words, making it highly concise and front-loaded. It efficiently communicates the core purpose without unnecessary elaboration.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what a 'property definition' includes, the return format, or behavioral aspects like safety or constraints. For a tool with no structured data support, this leaves significant gaps for an agent.

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?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is acceptable here, but it could have clarified implicit inputs (e.g., context-specific identifiers). Baseline is 4 for zero parameters.

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 action ('Get') and the resource ('property definition for survey summary'), making the purpose understandable. However, it doesn't differentiate this tool from its siblings like 'get_survey_summary' or 'get_survey_summaries', which also retrieve survey-related data but target different resources.

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. It doesn't mention scenarios for retrieving property definitions specifically, prerequisites, or how it differs from sibling tools that handle survey summaries or updates, leaving the agent without usage 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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