High Risk →

run_ui5_linter

Integrates with [@ui5/linter](https://github.com/UI5/linter) to analyze and report issues in the UI5 code.

Part of the Ui5 server.

run_ui5_linter can trigger actions in Ui5, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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Free to start. No card required.

AI agents invoke run_ui5_linter to trigger processes or run actions in Ui5. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

run_ui5_linter can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_ui5_linter": {
      "limits": [
        {
          "counter": "run_ui5_linter_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Ui5 policy for all 10 tools.

Get this rule live on your own Ui5 server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY UI5 →

View all 10 tools →

These attack patterns abuse exactly the kind of access run_ui5_linter gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so run_ui5_linter only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the run_ui5_linter tool do? +

Integrates with [@ui5/linter](https://github.com/UI5/linter) to analyze and report issues in the UI5 code.. It is categorised as a Execute tool in the Ui5 MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_ui5_linter? +

Register the Ui5 MCP server in PolicyLayer and add a rule for run_ui5_linter: 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 Ui5. Nothing to install.

What risk level is run_ui5_linter? +

run_ui5_linter is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_ui5_linter? +

Yes. Add a rate_limit block to the run_ui5_linter 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 run_ui5_linter completely? +

Set action: deny in the PolicyLayer policy for run_ui5_linter. 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 run_ui5_linter? +

run_ui5_linter is provided by the Ui5 MCP server (@ui5/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 Ui5 tool call.

Deterministic rules across all 10 Ui5 tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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