Create Dfd
create_dfdValidate a DFD artifact and render it as styled Mermaid. Returns {mermaid, validation_errors, structural_warnings}. Use after the DFD specialist (/threat-modeler-dfd) has finished extraction so the graph integrity (valid node types, declared trust_zones, reachable edge endpoints, recognised regulatory tokens) is checked before the artifact is submitted via submit_response on scoping.component_identification. artifact = {nodes, edges, trust_zones, assets}, each a list. node: {id, type, trust_zone, name?} where type is one of process|data_store|external_entity|actor and trust_zone references a trust_zones[].id. edge: {src_node, dst_node, id?, protocol?, authentication?, encrypted?, crosses_boundary?} where src_node/dst_node reference node ids (from/to accepted as aliases). trust_zone: {id, name?}. asset: {owner_node, id?, regulatory_relevance?} where owner_node references a node id and regulatory_relevance tokens are one of GDPR|PCI_DSS|DORA|NIS2|EU_AI_Act|HIPAA|ePrivacy|EBA|EIOPA. Bad input returns validation_errors with mermaid=null; it never raises.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| artifact | Yes | The DFD to validate and render: {nodes, edges, trust_zones, assets}, each a list. node = {id, type, trust_zone, name?} where type is process, data_store, external_entity, or actor and trust_zone references a trust_zones[].id. edge = {src_node, dst_node, id?, protocol?, authentication?, encrypted?, crosses_boundary?} where src_node and dst_node reference node ids (from/to are accepted aliases). trust_zone = {id, name?}. asset = {owner_node, id?, regulatory_relevance?} where regulatory_relevance tokens are GDPR, PCI_DSS, DORA, NIS2, EU_AI_Act, HIPAA, ePrivacy, EBA, or EIOPA. |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |