add_observations

Add new observations to existing entities in the knowledge graph

SERVEREnhanced Knowledge Graph Memory Server SOURCEdanielsimonjr/memory-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/danielsimonjr-memory-mcp/add-observations.md

WHAT IT DOES

What add_observations does on Enhanced Knowledge Graph Memory Server

AI agents use add_observations to create or update resources in Enhanced Knowledge Graph Memory Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Enhanced Knowledge Graph Memory Server environment.

RISK

Why add_observations is rated Medium

This tool creates or appends new observational data to entities in a knowledge graph, which is a reversible modification (observations can be removed or corrected). It does not execute arbitrary operations, delete data irreversibly, or involve financial transactions. While it modifies persistent storage, the changes are non-destructive and can be undone, placing it squarely in the Write category.

From the tool's definition Tool name 'add_observations' and description 'Add new observations to existing entities in the knowledge graph' indicate creation/modification of data within a persistent knowledge graph store.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs add_observations safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Enhanced Knowledge Graph Memory Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For add_observations, this is the rule to start with:

add_observations Rate-limited

add_observations stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_observations": {
      "limits": [
        {
          "counter": "add_observations_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Enhanced Knowledge Graph Memory Server, apply this rule, and every add_observations call is checked against it from then on.

FAQ

Questions about add_observations

What does the add_observations tool do? +

Add new observations to existing entities in the knowledge graph. It is categorised as a Write tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_observations? +

Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for add_observations: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Enhanced Knowledge Graph Memory Server. Nothing to install.

What risk level is add_observations? +

add_observations is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit add_observations? +

Yes. Add a rate_limit block to the add_observations rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block add_observations completely? +

Set action: deny in the PolicyLayer policy for add_observations. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides add_observations? +

add_observations is provided by the Enhanced Knowledge Graph Memory Server MCP server (danielsimonjr/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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