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itseasy21

Knowledge Graph Memory Server

by itseasy21

delete_observations

Remove specific observations from entities in the knowledge graph to maintain accurate and relevant memory storage.

Instructions

Delete specific observations from entities in the knowledge graph

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deletionsYes

Implementation Reference

  • Core handler function in KnowledgeGraphManager that deletes specified observations from entities by loading the graph, filtering observations, and saving the updated graph.
    async deleteObservations(deletions: { entityName: string; observations: string[] }[]): Promise<void> {
      const graph = await this.loadGraph();
      deletions.forEach(d => {
        const entity = graph.entities.find(e => e.name === d.entityName);
        if (entity) {
          entity.observations = entity.observations.filter(o => !d.observations.includes(o));
        }
      });
      await this.saveGraph(graph);
    }
  • index.ts:372-396 (registration)
    Tool registration in ListToolsRequestSchema handler, defining name, description, and input schema for delete_observations.
    {
      name: "delete_observations",
      description: "Delete specific observations from entities in the knowledge graph",
      inputSchema: {
        type: "object",
        properties: {
          deletions: {
            type: "array",
            items: {
              type: "object",
              properties: {
                entityName: { type: "string", description: "The name of the entity containing the observations" },
                observations: {
                  type: "array",
                  items: { type: "string" },
                  description: "An array of observations to delete"
                },
              },
              required: ["entityName", "observations"],
            },
          },
        },
        required: ["deletions"],
      },
    },
  • MCP server handler (switch case) for delete_observations tool call, delegating to KnowledgeGraphManager and returning success response.
    case "delete_observations":
      await knowledgeGraphManager.deleteObservations(args.deletions as { entityName: string; observations: string[] }[]);
      return { content: [{ type: "text", text: "Observations deleted successfully" }] };
  • Input schema definition for the delete_observations tool, specifying the structure of deletions array with entityName and observations.
    inputSchema: {
      type: "object",
      properties: {
        deletions: {
          type: "array",
          items: {
            type: "object",
            properties: {
              entityName: { type: "string", description: "The name of the entity containing the observations" },
              observations: {
                type: "array",
                items: { type: "string" },
                description: "An array of observations to delete"
              },
            },
            required: ["entityName", "observations"],
          },
        },
      },
      required: ["deletions"],
    },

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the action without mentioning permanence, side effects, required permissions, or return format. As a mutation tool, this is insufficient.

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?

The description is a single sentence that directly conveys the core action, with no unnecessary words. It is well-structured and front-loaded.

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?

The tool has a non-trivial parameter schema and no output schema or annotations. The description is too minimal to fully inform usage, lacking details on how to specify deletions and what to expect in response.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description does not explain the 'deletions' parameter structure. Schema coverage is 0% for the top-level parameter, and the description adds no semantic meaning beyond the schema's nested field descriptions.

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

Purpose5/5

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

The description clearly states the function: deleting specific observations from entities in a knowledge graph. It distinguishes itself from sibling tools like delete_entities and add_observations by specifying the granularity ('specific observations').

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 such as delete_entities or when not to use it. The description lacks any context or conditions for usage.

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