Medium Risk

pathrule_write_rule

Create a new rule at a workspace path. Missing nodes auto-create. Use scope_type/priority honestly: high only when a violation causes a real bug or regression. Cloud-only — Pathrule Desktop/CLI also renders the rule into the user's CLAUDE.md/AGENTS.md and editor companion files automatically.

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Part of the Pathrule server.

pathrule_write_rule 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_write_rule 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_write_rule 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_write_rule": {
      "limits": [
        {
          "counter": "pathrule_write_rule_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access pathrule_write_rule 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_write_rule 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_write_rule tool do? +

Create a new rule at a workspace path. Missing nodes auto-create. Use scope_type/priority honestly: high only when a violation causes a real bug or regression. Cloud-only — Pathrule Desktop/CLI also renders the rule into the user's CLAUDE.md/AGENTS.md and editor companion files automatically.. 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_write_rule? +

Register the Pathrule MCP server in PolicyLayer and add a rule for pathrule_write_rule: 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_write_rule? +

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

Can I rate-limit pathrule_write_rule? +

Yes. Add a rate_limit block to the pathrule_write_rule 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_write_rule completely? +

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

pathrule_write_rule 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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