Elasticsearch Knowledge Graph for MCP

update_entities

Modifies entities in the Elasticsearch Knowledge Graph memory zones, enabling updates to entity details, types, and observations for enhanced data accuracy and context.

Instructions

Update entities in knowledge graph (memory)

Input Schema

TableJSON Schema

Name	Required	Description	Default
`entities`	Yes	List of entities to update
`memory_zone`	Yes	Memory zone specifier. Entities will be updated in this zone.

Implementation Reference

src/index.ts:825-856 (handler)

Executes the update_entities tool by fetching existing entities from the knowledge graph, merging provided updates while preserving unspecified fields, doubling the relevance score by default, and saving the updates.

else if (toolName === "update_entities") {
  const entities = params.entities;
  const zone = params.memory_zone;
  const updatedEntities = [];
  
  for (const entity of entities) {
    // Get the existing entity first, then update with new values
    const existingEntity = await kgClient.getEntity(entity.name, zone);
    if (!existingEntity) {
      const zoneMsg = zone ? ` in zone "${zone}"` : "";
      throw new Error(`Entity "${entity.name}" not found${zoneMsg}`);
    }
    
    // Update with new values, preserving existing values for missing fields
    const updatedEntity = await kgClient.saveEntity({
      name: entity.name,
      entityType: entity.entityType || existingEntity.entityType,
      observations: entity.observations || existingEntity.observations,
      relevanceScore: entity.relevanceScore || ((existingEntity.relevanceScore ?? 1.0) * 2.0)
    }, zone);
    
    updatedEntities.push(updatedEntity);
  }
  
  return formatResponse({
    entities: updatedEntities.map(e => ({
      name: e.name,
      entityType: e.entityType,
      observations: e.observations
    }))
  });
}

src/index.ts:201-233 (schema)

JSON schema defining the input parameters for the update_entities tool, including list of entities to update (each requiring name, optional entityType, observations, isImportant) and required memory_zone.

{
  name: "update_entities",
  description: "Update entities in knowledge graph (memory)",
  inputSchema: {
    type: "object",
    properties: {
      entities: {
        type: "array",
        description: "List of entities to update",
        items: {
          type: "object",
          properties: {
            name: {type: "string"},
            entityType: {type: "string"},
            observations: {
              type: "array",
              items: {type: "string"}
            },
            isImportant: {type: "boolean"}
          },
          required: ["name"]
        }
      },
      memory_zone: {
        type: "string",
        description: "Memory zone specifier. Entities will be updated in this zone."
      }
    },
    required: ["entities", "memory_zone"],
    additionalProperties: false,
    "$schema": "http://json-schema.org/draft-07/schema#"
  }
},

src/index.ts:89-649 (registration)

The update_entities tool is registered by including its definition in the tools array returned by the ListToolsRequestSchema handler.

server.setRequestHandler(ListToolsRequestSchema, async () => {
  return {
    tools: [
      {
        name: "inspect_files",
        description: "Agent driven file inspection that uses AI to retrieve relevant content from multiple files.",
        inputSchema: {
          type: "object",
          properties: {
            file_paths: {
              type: "array",
              items: { type: "string" },
              description: "Paths to the files (or directories) to inspect"
            },
            information_needed: {
              type: "string",
              description: "Full description of what information is needed from the files, 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 a line is relevant to the information needed. So provide a detailed specific description, listing all the details about what you are looking for."
            },
            reason: {
              type: "string",
              description: "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."
            },
            include_lines: {
              type: "boolean",
              description: "Whether to include the actual line content in the response, which uses more of your limited token quota, but gives more informatiom (default: false)"
            },
            keywords: {
              type: "array",
              items: { type: "string" },
              description: "Array of specific keywords related to the information needed. AI will target files that contain one of these keywords. REQUIRED and cannot be null or empty - the more keywords you provide, the better the results. Include variations, synonyms, and related terms."
            }
          },
          required: ["file_paths", "information_needed", "include_lines", "keywords"],
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "inspect_knowledge_graph",
        description: "Agent driven knowledge graph inspection that uses AI to retrieve relevant entities and relations based on a query.",
        inputSchema: {
          type: "object",
          properties: {
            information_needed: {
              type: "string",
              description: "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."
            },
            reason: {
              type: "string",
              description: "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."
            },
            include_entities: {
              type: "boolean",
              description: "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: {
              type: "boolean",
              description: "Whether to include the entity relations in the response (default: false)"
            },
            keywords: {
              type: "array",
              items: { type: "string" },
              description: "Array of specific keywords related to the information needed. AI will target entities that match one of these keywords. REQUIRED and cannot be null or empty - the more keywords you provide, the better the results. Include variations, synonyms, and related terms."
            },
            memory_zone: {
              type: "string",
              description: "Memory zone to search in. If not provided, uses the default zone."
            },
            entity_types: {
              type: "array",
              items: { type: "string" },
              description: "Optional filter to specific entity types"
            }
          },
          required: ["information_needed", "keywords"],
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "create_entities",
        description: "Create entities in knowledge graph (memory)",
        inputSchema: {
          type: "object",
          properties: {
            entities: {
              type: "array",
              items: {
                type: "object",
                properties: {
                  name: {type: "string", description: "Entity name"},
                  entityType: {type: "string", description: "Entity type"},
                  observations: {
                    type: "array", 
                    items: {type: "string"},
                    description: "Observations about this entity"
                  }
                },
                required: ["name", "entityType"]
              },
              description: "List of entities to create"
            },
            memory_zone: {
              type: "string",
              description: "Memory zone to create entities in."
            }
          },
          required: ["entities", "memory_zone"],
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "update_entities",
        description: "Update entities in knowledge graph (memory)",
        inputSchema: {
          type: "object",
          properties: {
            entities: {
              type: "array",
              description: "List of entities to update",
              items: {
                type: "object",
                properties: {
                  name: {type: "string"},
                  entityType: {type: "string"},
                  observations: {
                    type: "array",
                    items: {type: "string"}
                  },
                  isImportant: {type: "boolean"}
                },
                required: ["name"]
              }
            },
            memory_zone: {
              type: "string",
              description: "Memory zone specifier. Entities will be updated in this zone."
            }
          },
          required: ["entities", "memory_zone"],
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "delete_entities",
        description: "Delete entities from knowledge graph (memory)",
        inputSchema: {
          type: "object",
          properties: {
            names: {
              type: "array",
              items: {type: "string"},
              description: "Names of entities to delete"
            },
            memory_zone: {
              type: "string",
              description: "Memory zone specifier. Entities will be deleted from this zone."
            },
            cascade_relations: {
              type: "boolean",
              description: "Whether to delete relations involving these entities (default: true)",
              default: true
            }
          },
          required: ["names", "memory_zone"],
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "create_relations",
        description: "Create relationships between entities in knowledge graph (memory)",
        inputSchema: {
          type: "object",
          properties: {
            relations: {
              type: "array",
              description: "List of relations to create",
              items: {
                type: "object",
                properties: {
                  from: {type: "string", description: "Source entity name"},
                  fromZone: {type: "string", description: "Optional zone for source entity, defaults to memory_zone or default zone. Must be one of the existing zones."},
                  to: {type: "string", description: "Target entity name"},
                  toZone: {type: "string", description: "Optional zone for target entity, defaults to memory_zone or default zone. Must be one of the existing zones."},
                  type: {type: "string", description: "Relationship type"}
                },
                required: ["from", "to", "type"]
              }
            },
            memory_zone: {
              type: "string",
              description: "Optional default memory zone specifier. Used if a relation doesn't specify fromZone or toZone."
            },
            auto_create_missing_entities: {
              type: "boolean",
              description: "Whether to automatically create missing entities in the relations (default: true)",
              default: true
            }
          },
          required: ["relations"],
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "delete_relations",
        description: "Delete relationships from knowledge graph (memory)",
        inputSchema: {
          type: "object",
          properties: {
            relations: {
              type: "array",
              description: "List of relations to delete",
              items: {
                type: "object",
                properties: {
                  from: {type: "string", description: "Source entity name"},
                  to: {type: "string", description: "Target entity name"},
                  type: {type: "string", description: "Relationship type"}
                },
                required: ["from", "to", "type"]
              }
            },
            memory_zone: {
              type: "string",
              description: "Optional memory zone specifier. If provided, relations will be deleted from this zone."
            }
          },
          required: ["relations"],
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "search_nodes",
        description: "Search entities using ElasticSearch query syntax. Supports boolean operators (AND, OR, NOT), fuzzy matching (~), phrases (\"term\"), proximity (\"terms\"~N), wildcards (*, ?), and boosting (^N). Examples: 'meeting AND notes', 'Jon~', '\"project plan\"~2'. All searches respect zone isolation.",
        inputSchema: {
          type: "object",
          properties: {
            query: {
              type: "string",
              description: "ElasticSearch query string."
            },
            informationNeeded: {
              type: "string",
              description: "Important. Describe what information you are looking for, to give a precise context to the search engine AI agent. What questions are you trying to answer? Helps get more useful results."
            },
            reason: {
              type: "string",
              description: "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."
            },
            entityTypes: {
              type: "array",
              items: {type: "string"},
              description: "Filter to specific entity types (OR condition if multiple)."
            },
            limit: {
              type: "integer",
              description: "Max results (default: 20, or 5 with observations)."
            },
            sortBy: {
              type: "string",
              enum: ["relevance", "recency", "importance"],
              description: "Sort by match quality, access time, or importance."
            },
            includeObservations: {
              type: "boolean",
              description: "Include full entity observations (default: false).",
              default: false
            },
            memory_zone: {
              type: "string",
              description: "Limit search to specific zone. Omit for default zone."
            },
          },
          required: ["query", "memory_zone", "informationNeeded", "reason"],
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "open_nodes",
        description: "Get details about specific entities in knowledge graph (memory) and their relations",
        inputSchema: {
          type: "object",
          properties: {
            names: {
              type: "array",
              items: {type: "string"},
              description: "Names of entities to retrieve"
            },
            memory_zone: {
              type: "string",
              description: "Optional memory zone to retrieve entities from. If not specified, uses the default zone."
            }
          },
          required: ["names", "memory_zone"],
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "add_observations",
        description: "Add observations to an existing entity in knowledge graph (memory)",
        inputSchema: {
          type: "object",
          properties: {
            name: {
              type: "string",
              description: "Name of entity to add observations to"
            },
            observations: {
              type: "array",
              items: {type: "string"},
              description: "Observations to add to the entity"
            },
            memory_zone: {
              type: "string",
              description: "Optional memory zone where the entity is stored. If not specified, uses the default zone."
            }
          },
          required: ["memory_zone", "name", "observations"],
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "mark_important",
        description: "Mark entity as important in knowledge graph (memory) by boosting its relevance score",
        inputSchema: {
          type: "object",
          properties: {
            name: {
              type: "string",
              description: "Entity name"
            },
            important: {
              type: "boolean",
              description: "Set as important (true - multiply relevance by 10) or not (false - divide relevance by 10)"
            },
            memory_zone: {
              type: "string",
              description: "Optional memory zone specifier. If provided, entity will be marked in this zone."
            },
            auto_create: {
              type: "boolean",
              description: "Whether to automatically create the entity if it doesn't exist (default: false)",
              default: false
            }
          },
          required: ["memory_zone", "name", "important"],
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "get_recent",
        description: "Get recently accessed entities from knowledge graph (memory) and their relations",
        inputSchema: {
          type: "object",
          properties: {
            limit: {
              type: "integer",
              description: "Max results (default: 20 if includeObservations is false, 5 if true)"
            },
            includeObservations: {
              type: "boolean",
              description: "Whether to include full entity observations in results (default: false)",
              default: false
            },
            memory_zone: {
              type: "string",
              description: "Optional memory zone to get recent entities from. If not specified, uses the default zone."
            }
          },
          required: ["memory_zone"],
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "list_zones",
        description: "List all available memory zones with metadata. When a reason is provided, zones will be filtered and prioritized based on relevance to your needs.",
        inputSchema: {
          type: "object",
          properties: {
            reason: {
              type: "string",
              description: "Reason for listing zones. What zones are you looking for? Why are you looking for them? The AI will use this to prioritize and filter relevant zones."
            }
          },
          additionalProperties: false,
          "$schema": "http://json-schema.org/draft-07/schema#"
        }
      },
      {
        name: "create_zone",
        description: "Create a new memory zone with optional description.",
        inputSchema: {
          type: "object",
          properties: {
            name: {
              type: "string",
              description: "Zone name (cannot be 'default')"
            },
            shortDescription: {
              type: "string",
              description: "Short description of the zone."
            },
            description: {
              type: "string",
              description: "Full zone description. Make it very descriptive and detailed."
            }
          },
          required: ["name"]
        }
      },
      {
        name: "delete_zone",
        description: "Delete a memory zone and all its entities/relations.",
        inputSchema: {
          type: "object",
          properties: {
            name: {
              type: "string",
              description: "Zone name to delete (cannot be 'default')"
            },
            confirm: {
              type: "boolean",
              description: "Confirmation flag, must be true",
              default: false
            }
          },
          required: ["name", "confirm"]
        }
      },
      {
        name: "copy_entities",
        description: "Copy entities between zones with optional relation handling.",
        inputSchema: {
          type: "object",
          properties: {
            names: {
              type: "array",
              items: { type: "string" },
              description: "Entity names to copy"
            },
            source_zone: {
              type: "string",
              description: "Source zone"
            },
            target_zone: {
              type: "string",
              description: "Target zone"
            },
            copy_relations: {
              type: "boolean",
              description: "Copy related relationships (default: true)",
              default: true
            },
            overwrite: {
              type: "boolean",
              description: "Overwrite if entity exists (default: false)",
              default: false
            }
          },
          required: ["names", "source_zone", "target_zone"]
        }
      },
      {
        name: "move_entities",
        description: "Move entities between zones (copy + delete from source).",
        inputSchema: {
          type: "object",
          properties: {
            names: {
              type: "array",
              items: { type: "string" },
              description: "Entity names to move"
            },
            source_zone: {
              type: "string",
              description: "Source zone"
            },
            target_zone: {
              type: "string",
              description: "Target zone"
            },
            move_relations: {
              type: "boolean",
              description: "Move related relationships (default: true)",
              default: true
            },
            overwrite: {
              type: "boolean",
              description: "Overwrite if entity exists (default: false)",
              default: false
            }
          },
          required: ["names", "source_zone", "target_zone"]
        }
      },
      {
        name: "merge_zones",
        description: "Merge multiple zones with conflict resolution options.",
        inputSchema: {
          type: "object",
          properties: {
            source_zones: {
              type: "array",
              items: { type: "string" },
              description: "Source zones to merge from"
            },
            target_zone: {
              type: "string",
              description: "Target zone to merge into"
            },
            delete_source_zones: {
              type: "boolean",
              description: "Delete source zones after merging",
              default: false
            },
            overwrite_conflicts: {
              type: "string",
              enum: ["skip", "overwrite", "rename"],
              description: "How to handle name conflicts",
              default: "skip"
            }
          },
          required: ["source_zones", "target_zone"]
        }
      },
      {
        name: "zone_stats",
        description: "Get statistics for entities and relationships in a zone.",
        inputSchema: {
          type: "object",
          properties: {
            zone: {
              type: "string",
              description: "Zone name (omit for default zone)"
            }
          },
          required: ["zone"]
        }
      },
      {
        name: "get_time_utc",
        description: "Get the current UTC time in YYYY-MM-DD hh:mm:ss format",
        inputSchema: {
          type: "object",
          properties: {},
          additionalProperties: false
        }
      }
    ]
  };
});

Tool Definition Quality

C2.9/5.0

Behavior2/5

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

No annotations are provided, so the description carries full burden. It states 'Update' implying mutation but doesn't disclose behavioral traits like whether this overwrites or merges existing data, permission requirements, side effects, rate limits, or what happens on failure. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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?

Extremely concise with a single, front-loaded sentence that wastes no words. The parenthetical '(memory)' adds brief clarification without redundancy. Every element earns its place efficiently.

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 complexity (mutation tool with 2 parameters, no annotations, no output schema), the description is incomplete. It lacks behavioral details, usage context, and output expectations, making it inadequate for safe and effective tool invocation by an AI agent.

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 parameters are fully documented in the schema. The description adds no additional meaning beyond implying the tool operates on 'entities' and uses 'memory_zone', which is already clear from the schema. Baseline 3 is appropriate as 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 verb ('Update') and resource ('entities in knowledge graph') with parenthetical clarification ('memory'). It distinguishes from siblings like 'create_entities' (new creation) and 'delete_entities' (removal), but doesn't explicitly differentiate from 'move_entities' or 'mark_important' 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?

No guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., entities must exist), when to choose 'update_entities' over 'add_observations' or 'mark_important', or any constraints like memory zone requirements. The description provides only basic functional context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

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create_entitiesC
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mark_importantB
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copy_entitiesC
@j3k0/mcp-brain-tools
update_nodesC
@CheMiguel23/MemoryMesh

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