create_observation

A write tool on the Optimized Memory MCP Server V2 MCP server.

SERVEROptimized Memory MCP Server V2 SOURCEagentwong/optimized-memory-mcp-serverv2

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/agentwong-optimized-memory-mcp-serverv2/create-observation.md

WHAT IT DOES

What create_observation does on Optimized Memory MCP Server V2

AI agents use create_observation to create or update resources in Optimized Memory MCP Server V2, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Optimized Memory MCP Server V2 environment.

RISK

Why create_observation is rated Medium

The tool creates new observation records in what appears to be a knowledge management system. This is a Write operation (creates data reversibly). Severity is medium because incorrect observations could pollute the knowledge base and affect downstream reasoning, but the operation is not financially damaging or destructive.

From the tool's definition Tool name 'create_observation' indicates a data creation operation. Grouped with other data manipulation tools like create_entity, create_relationship, delete_entity, and delete_relationship on the same server, suggesting it modifies stored state.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_observation safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Optimized Memory MCP Server V2, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_observation, this is the rule to start with:

create_observation Rate-limited

create_observation 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": {
    "create_observation": {
      "limits": [
        {
          "counter": "create_observation_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 Optimized Memory MCP Server V2, apply this rule, and every create_observation call is checked against it from then on.

FAQ

Questions about create_observation

What does the create_observation tool do? +

create_observation is a write tool on the Optimized Memory MCP Server V2 MCP server. It is categorised as a Write tool in the Optimized Memory MCP Server V2 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_observation? +

Register the Optimized Memory MCP Server V2 MCP server in PolicyLayer and add a rule for create_observation: 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 Optimized Memory MCP Server V2. Nothing to install.

What risk level is create_observation? +

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

Can I rate-limit create_observation? +

Yes. Add a rate_limit block to the create_observation 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 create_observation completely? +

Set action: deny in the PolicyLayer policy for create_observation. 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 create_observation? +

create_observation is provided by the Optimized Memory MCP Server V2 MCP server (agentwong/optimized-memory-mcp-serverv2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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