Low Risk

get_submodel_metadata

get_submodel_metadata

How to control get_submodel_metadata ↓

What get_submodel_metadata does on Aas

AI agents call get_submodel_metadata to retrieve information from Aas without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_submodel_metadata needs a policy

This tool retrieves metadata without modifying any asset data. It has no side effects and presents minimal risk. The 'get_' prefix and metadata-retrieval semantics place it firmly in the Read category with low severity.

From the tool's definition Tool name 'get_submodel_metadata' indicates retrieval of metadata about a submodel. The 'get_' prefix universally signals read-only query operations.

Documented attack patterns abuse exactly the kind of access get_submodel_metadata gives an agent:

How to control get_submodel_metadata

PolicyLayer is an MCP gateway — it sits between your AI agents and Aas, and nothing reaches the server without passing your rules. This is the rule we recommend for get_submodel_metadata:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_submodel_metadata": {}
  }
}

get_submodel_metadata 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 Aas — 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 get_submodel_metadata

What does the get_submodel_metadata tool do? +

get_submodel_metadata. It is categorised as a Read tool in the Aas MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_submodel_metadata? +

Register the Aas MCP server in PolicyLayer and add a rule for get_submodel_metadata: 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 Aas. Nothing to install.

What risk level is get_submodel_metadata? +

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

Can I rate-limit get_submodel_metadata? +

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

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

get_submodel_metadata is provided by the Aas MCP server (smartfactory-kl/aas-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Aas tool call.

Start from Aas, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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25 Aas tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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