inspect_knowledge_graph
Retrieve targeted entities and relations from a knowledge graph using AI-driven queries. Specify information needs, keywords, and filters to extract relevant insights for enhanced decision-making.
Instructions
Agent driven knowledge graph inspection that uses AI to retrieve relevant entities and relations based on a query.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| entity_types | No | Optional filter to specific entity types | |
| include_entities | No | Whether to include the full entity details in the response, which uses more of your limited token quota, but gives more information (default: false) | |
| include_relations | No | Whether to include the entity relations in the response (default: false) | |
| information_needed | Yes | Full description of what information is needed from the knowledge graph, including the context of the information needed. Do not be vague, be specific. The AI agent does not have access to your context, only this "information needed" and "reason" fields. That's all it will use to decide that an entity is relevant to the information needed. | |
| keywords | Yes | Array of specific keywords related to the information needed. AI will target entities that match one of these keywords. | |
| memory_zone | No | Memory zone to search in. If not provided, uses the default zone. | |
| reason | No | Explain why this information is needed to help the AI agent give better results. The more context you provide, the better the results will be. |