update_model_using_tmsl · Semantic Model MCP Server MCP

WHAT IT DOES

What update_model_using_tmsl does on Semantic Model MCP Server

AI agents use update_model_using_tmsl to create or update resources in Semantic Model MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Semantic Model MCP Server environment.

WHY IT NEEDS A POLICY

Why update_model_using_tmsl needs a policy

This tool creates or modifies data structures (semantic models) reversibly using TMSL, which is a declarative language for model configuration. While the description is empty, the tool name and server context (Microsoft Fabric/Power BI semantic models) clearly indicate Write-category functionality. It does not delete or destroy data (Destructive), execute arbitrary code (Execute), or move money (Financial).

From the tool's definition Tool name 'update_model_using_tmsl' explicitly indicates modification of semantic models via TMSL (Tabular Model Scripting Language). TMSL is Microsoft's language for defining and altering Analysis Services and Power BI models.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_model_using_tmsl Rate-limited

update_model_using_tmsl 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_model_using_tmsl": {
      "limits": [
        {
          "counter": "update_model_using_tmsl_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Semantic Model MCP Server, so you can run agents against it safely.

FAQ

Questions about update_model_using_tmsl

What does the update_model_using_tmsl tool do? +

update_model_using_tmsl. It is categorised as a Write tool in the Semantic Model MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_model_using_tmsl? +

Register the Semantic Model MCP Server MCP server in PolicyLayer and add a rule for update_model_using_tmsl: 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 Semantic Model MCP Server. Nothing to install.

What risk level is update_model_using_tmsl? +

update_model_using_tmsl is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_model_using_tmsl? +

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

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

update_model_using_tmsl is provided by the Semantic Model MCP Server MCP server (nahtheking/semantic-model-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.