REMOVE specific TAGS from existing entities to maintain accurate categorization. Use for status updates, priority changes, or cleaning up outdated classifications. Tags must match exactly (case-sensitive).
AI agents use remove_tags 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 modifies existing entities by removing tags, which is a reversible write operation (tags can be re-added). It does not delete entities or observations themselves, just metadata labels. Misuse could corrupt categorization but data remains recoverable.
From the tool's definition REMOVE specific TAGS from existing entities to maintain accurate categorization... Tags must match exactly (case-sensitive)
Documented attack patterns abuse exactly the kind of access remove_tags 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 remove_tags:
{
"version": "1",
"default": "deny",
"tools": {
"remove_tags": {
"limits": [
{
"counter": "remove_tags_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} remove_tags 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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REMOVE specific TAGS from existing entities to maintain accurate categorization. Use for status updates, priority changes, or cleaning up outdated classifications. Tags must match exactly (case-sensitive). 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 remove_tags: 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.
remove_tags 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 remove_tags 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 remove_tags. 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.
remove_tags 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.
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11 KnowledgeGraph MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.