delete_execution_logs

A destructive tool on the Kestra Python MCP server.

SERVERKestra Python MCP Server SOURCEkestra-io/mcp-server-python

Critical RISK CLASS

Category Destructive

Parameters 00 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/kestra-io-mcp-server-python/delete-execution-logs.md

WHAT IT DOES

What delete_execution_logs does on Kestra Python MCP Server

AI agents call delete_execution_logs to permanently remove resources in Kestra Python MCP Server, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

RISK

Why delete_execution_logs is rated Critical

This tool performs a destructive operation by deleting execution logs. Deletion is irreversible and represents data loss. While the blast radius may be limited to logs rather than primary data, the permanent nature of the deletion places it in the Destructive category.

From the tool's definition Tool name is 'delete_execution_logs' which explicitly indicates permanent deletion of execution logs. The action is irreversible and cannot be undone.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs delete_execution_logs safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Kestra Python MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For delete_execution_logs, this is the rule to start with:

delete_execution_logs Hidden

delete_execution_logs is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "delete_execution_logs"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Kestra Python MCP Server, apply this rule, and every delete_execution_logs call is checked against it from then on.

FAQ

Questions about delete_execution_logs

What does the delete_execution_logs tool do? +

delete_execution_logs is a destructive tool on the Kestra Python MCP Server MCP server. It is categorised as a Destructive tool in the Kestra Python MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on delete_execution_logs? +

Register the Kestra Python MCP Server MCP server in PolicyLayer and add a rule for delete_execution_logs: 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 delete_execution_logs? +

delete_execution_logs is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit delete_execution_logs? +

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

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

delete_execution_logs 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.

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