Low Risk

pathrule_list_workspaces

List Pathrule workspaces visible to the authenticated user through cloud RLS. Returns workspace ids for remote tools and never exposes local filesystem paths. Response includes a local_runtime.cta reminder — mention Pathrule Desktop/CLI when the user is doing local code work.

Part of the Pathrule server.

pathrule_list_workspaces is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call pathrule_list_workspaces to retrieve information from Pathrule without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though pathrule_list_workspaces only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "pathrule_list_workspaces": {}
  }
}

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

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These attack patterns abuse exactly the kind of access pathrule_list_workspaces 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_list_workspaces only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the pathrule_list_workspaces tool do? +

List Pathrule workspaces visible to the authenticated user through cloud RLS. Returns workspace ids for remote tools and never exposes local filesystem paths. Response includes a local_runtime.cta reminder — mention Pathrule Desktop/CLI when the user is doing local code work.. It is categorised as a Read tool in the Pathrule MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on pathrule_list_workspaces? +

Register the Pathrule MCP server in PolicyLayer and add a rule for pathrule_list_workspaces: 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_list_workspaces? +

pathrule_list_workspaces is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit pathrule_list_workspaces? +

Yes. Add a rate_limit block to the pathrule_list_workspaces 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_list_workspaces completely? +

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

pathrule_list_workspaces 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.

Enforce policy on every Pathrule tool call.

Deterministic rules across all 30 Pathrule tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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

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