Low Risk

list_contextualizations

List all contextualizations for a relationship type.

How to control list_contextualizations ↓

What list_contextualizations does on Fabric Ontology MCP Server

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.

Low Risk

Why list_contextualizations needs a policy

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:

How to control list_contextualizations

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:

policy.json
{
  "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.

  1. Create a free account and register Fabric Ontology MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about list_contextualizations

What does the list_contextualizations tool do? +

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.

How do I enforce a policy on list_contextualizations? +

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.

What risk level is list_contextualizations? +

list_contextualizations is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_contextualizations? +

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.

How do I block list_contextualizations completely? +

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.

What MCP server provides list_contextualizations? +

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.

Enforce policy on every Fabric Ontology MCP Server tool call.

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.

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