resolve_model_source · Kiln MCP: Risk & Policy

WHAT IT DOES

What resolve_model_source does on Kiln

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

WHY IT NEEDS A POLICY

Why resolve_model_source needs a policy

An AI agent can call resolve_model_source faster than any human can review — one bad instruction and it creates or modifies resources in Kiln by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

resolve_model_source Rate-limited

resolve_model_source 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": {
    "resolve_model_source": {
      "limits": [
        {
          "counter": "resolve_model_source_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 Kiln, so you can run agents against it safely.

FAQ

Questions about resolve_model_source

What does the resolve_model_source tool do? +

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

How do I enforce a policy on resolve_model_source? +

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

What risk level is resolve_model_source? +

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

Can I rate-limit resolve_model_source? +

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

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

resolve_model_source is provided by the Kiln MCP server (codeofaxel/Kiln). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.