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Netra MCP trace-debugging workflow focused on query_traces and get_trace_by_id, including exact input parameters, filter schema, operators, sorting, and pagination patterns.
npx skill4agent add keyvaluesoftwaresystems/netra-skills netra-mcp-usagemcp_netra_netra_query_tracesmcp_netra_netra_get_trace_by_idstartTimeendTimelimitcursordirectionupdowndownsortFieldsortOrderascdescdescfilterslatency_msnametotal_costhas_piihas_violationstart_timeenvironmentservicehas_errortotal_tokensfieldvaluetypeoperatorkeynametenant_iduser_idsession_idenvironmentservicemetadataprojectIdsproject_idparent_span_idhas_piihas_violationhas_errormodelstotal_costlatencystringnumberbooleanarrayOptionsattributeKeyobjectequalsgreater_thanless_thangreater_equal_toless_equal_tocontainsnot_equalsany_ofnone_ofnot_containsstarts_withends_withis_nullis_not_nullfield: has_errortype: booleanoperator: equalsvalue: truefield: session_idtype: stringoperator: equalsvalue: <session-id>field: latencytype: numberoperator: greater_thanvalue: 3000field: servicetype: stringoperator: equalsvalue: <service-name>field: metadatatype: objectkey: <metadata-key>operator: equalsvalue: <value>query_tracescursorcursorquery_tracesdirection: downpageInfo.hasNextPagetraceIdquery_traceshas_error=truelatency_msget_trace_by_idsession_iduser_idtenant_idsortField=total_cost