ADD new factual observations to existing entities. Requires exact entity names that exist in the knowledge graph. Use search_knowledge first to verify entity existence.
AI agents use add_observations to create or update resources in KnowledgeGraph MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your KnowledgeGraph MCP Server environment.
This tool creates or modifies data (observations attached to entities) in a reversible manner. While it adds information to a knowledge graph, the modification is not permanent—observations can be removed. This places it in the Write category rather than Destructive.
From the tool's definition Tool name is 'add_observations' and description states it will 'ADD new factual observations to existing entities', indicating creation/modification of data. The operation is reversible via the sibling 'delete_observations' tool.
Documented attack patterns abuse exactly the kind of access add_observations gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and KnowledgeGraph MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for add_observations:
{
"version": "1",
"default": "deny",
"tools": {
"add_observations": {
"limits": [
{
"counter": "add_observations_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} 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.
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ADD new factual observations to existing entities. Requires exact entity names that exist in the knowledge graph. Use search_knowledge first to verify entity existence. It is categorised as a Write tool in the KnowledgeGraph MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the KnowledgeGraph MCP 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 KnowledgeGraph MCP Server. Nothing to install.
add_observations is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
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.
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.
add_observations is provided by the KnowledgeGraph MCP Server MCP server (n-r-w/knowledgegraph-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from KnowledgeGraph MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
11 KnowledgeGraph MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.