List all contextualizations for a relationship type.
AI agents call list_contextualizations to retrieve information from Fabric Ontology MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and lists existing ontology metadata (contextualizations) without creating, modifying, or deleting any data. It is a read-only operation that queries the state of the ontology. While the server as a whole provides destructive capabilities (delete_ontology), this specific tool performs only safe data retrieval.
From the tool's definition Tool name 'list_contextualizations' and description 'List all contextualizations for a relationship type' indicate a query/retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access list_contextualizations gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Fabric Ontology MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_contextualizations:
{
"version": "1",
"default": "deny",
"tools": {
"list_contextualizations": {}
}
} list_contextualizations is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all contextualizations for a relationship type. It is categorised as a Read tool in the Fabric Ontology MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Fabric Ontology MCP Server MCP server in PolicyLayer and add a rule for list_contextualizations: 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 Fabric Ontology MCP Server. Nothing to install.
list_contextualizations is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_contextualizations 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 list_contextualizations. 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.
list_contextualizations is provided by the Fabric Ontology MCP Server MCP server (tmdaidevs/ontology-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Fabric Ontology 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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45 Fabric Ontology MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.