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notion_schema_intelligence

Analyze Notion schema structures by providing a natural language objective and optional structured inputs to return intelligent insights.

Instructions

Run the notion domain agent action schema_intelligence.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNo
inputsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must compensate but only provides routing details (JWT, tenant, scope). It does not disclose whether the action is read-only or mutating, rate limits, or side effects. The behavioral traits are largely opaque.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short but includes unnecessary routing details that may not help the agent. The Args section is structured clearly. It is concise but at the expense of missing critical information, so it is not a model of conciseness.

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 zero annotation coverage, 0% schema descriptions, and no output schema description, the tool is under-documented. The description does not explain return values, when to invoke, or how inputs relate to the action's behavior. It is incomplete for reliable agent use.

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?

The description adds meaning to the parameters by stating message is a 'Free-text objective' and inputs is an 'Optional JSON string of structured inputs.' This goes beyond the schema which only has defaults. However, it lacks details on expected format, examples, or limitations.

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

Purpose2/5

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

The description states it runs a domain agent action 'schema_intelligence' but does not explain what this action does. The purpose is vague, and it fails to differentiate from other Notion tools like notion_search or notion_query_database.

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 on when to use this tool versus alternatives. The description does not provide context for when schema_intelligence is appropriate, nor does it mention any prerequisites or exclusions.

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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