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waystation-ai

WayStation MCP Server

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queryNotionDatabase

Retrieve and filter items from a specified Notion database using customizable criteria to organize and access your data efficiently.

Instructions

Retrieves and filters items from a specified Notion database.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseIdYesID of the database to query
filterNoOptional filter criteria
sortsNoOptional sorting criteria
pageSizeNoNumber of results to return (max 100)
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 mentions retrieval and filtering but omits critical details like pagination behavior (implied by 'pageSize' but not explained), rate limits, authentication requirements, error conditions, or what the return format looks like. For a query tool with complex parameters, this is insufficient.

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 with zero wasted words. It's front-loaded with the core purpose and avoids unnecessary elaboration, making it easy to parse quickly.

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 tool's complexity (4 parameters including nested objects), lack of annotations, and no output schema, the description is incomplete. It doesn't explain the return format, error handling, or behavioral constraints, leaving significant gaps for an agent to operate this tool effectively.

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 documents all four parameters thoroughly. The description adds no additional semantic context about parameters beyond what's in the schema (e.g., how 'filter' or 'sorts' should be structured, examples of valid criteria). Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Retrieves and filters items') and target resource ('from a specified Notion database'), providing a specific verb+resource combination. However, it doesn't differentiate from sibling tools like 'searchNotion' or 'listNotionPages', which might have overlapping functionality.

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 like 'searchNotion' or 'listNotionPages'. It lacks context about appropriate use cases, prerequisites, or exclusions, leaving the agent to infer usage from the tool name alone.

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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