namespace_file_action

THE RISK

Low Risk

Why namespace_file_action needs a policy

The description is empty, so the exact behavior cannot be determined from available information. The name 'namespace_file_action' suggests file operations within a namespace, which could range from Read to Destructive depending on the action parameter. Given the ambiguity, I assign 'Other' with low confidence, but note that misuse could have medium severity if it allows file deletion or overwriting.

From the tool's definition Tool name is 'namespace_file_action' and description is empty or uninformative.

Documented attack patterns abuse exactly the kind of access namespace_file_action gives an agent:

POLICY

How to control namespace_file_action

PolicyLayer is an MCP gateway — it sits between your AI agents and Kestra Python MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for namespace_file_action:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "namespace_file_action": {
      "limits": [
        {
          "counter": "namespace_file_action_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

namespace_file_action gets a rate cap, and everything else on the server is denied unless you say otherwise.

Create a free account and register Kestra Python MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Kestra Python MCP Server tools

Destructive delete_execution_logs delete_execution_logs Destructive delete_flow_logs delete_flow_logs Execute force_run_execution Force run an execution only if it is in CREATED, PAUSED, or QUEUED state. Execute execute_flow execute_flow Execute restart_execution restart_execution Execute backfill_executions backfill_executions Execute change_taskrun_state change_taskrun_state Execute manage_executions manage_executions

All 39 Kestra Python MCP Server tools →

Other tools on other servers

Android Forensics ADB MCP Server generate_app_analysis_report Ethereum Tools add Math MCP Server complex_analysis_suite Crypto_MCP aes_encrypt

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about namespace_file_action

What does the namespace_file_action tool do? +

namespace_file_action. It is categorised as a Other tool in the Kestra Python MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on namespace_file_action? +

Register the Kestra Python MCP Server MCP server in PolicyLayer and add a rule for namespace_file_action: 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 Kestra Python MCP Server. Nothing to install.

What risk level is namespace_file_action? +

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

Can I rate-limit namespace_file_action? +

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

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

namespace_file_action is provided by the Kestra Python MCP Server MCP server (kestra-io/mcp-server-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Kestra Python MCP Server tool call.

Start from Kestra Python MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →