Medium Risk

pathrule_resolve_refresh

Close a Pathrule refresh task after reviewing its brief. Normal remote flow: call pathrule_list_pending_refreshes, then pathrule_get_refresh_brief, then use this tool with status='rejected' when the signal is stale or not actionable. Remote MCP may refuse status='applied' because it cannot verify...

Part of the Pathrule server.

pathrule_resolve_refresh can modify Pathrule data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use pathrule_resolve_refresh to create or modify resources in Pathrule. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call pathrule_resolve_refresh repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Pathrule.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "pathrule_resolve_refresh": {
      "limits": [
        {
          "counter": "pathrule_resolve_refresh_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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

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

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

What does the pathrule_resolve_refresh tool do? +

Close a Pathrule refresh task after reviewing its brief. Normal remote flow: call pathrule_list_pending_refreshes, then pathrule_get_refresh_brief, then use this tool with status='rejected' when the signal is stale or not actionable. Remote MCP may refuse status='applied' because it cannot verify local source files; use Pathrule Desktop/CLI for applied resolutions that require local verification.. It is categorised as a Write tool in the Pathrule MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on pathrule_resolve_refresh? +

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

What risk level is pathrule_resolve_refresh? +

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

Can I rate-limit pathrule_resolve_refresh? +

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

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

pathrule_resolve_refresh is provided by the Pathrule MCP server (https://mcp.pathrule.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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