list_tasks
List all your Kling AI generation tasks with filtering options. View task history, check statuses, and filter by date range or status. Supports pagination for browsing through large task lists.
This record as markdown: /tools/199-mcp-mcp-kling/list-tasks.md
What list_tasks does on MCP Kling
AI agents call list_tasks to retrieve information from MCP Kling without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_tasks is rated Low
This tool retrieves and queries existing data (task history and statuses) without modifying, deleting, executing code, or incurring financial obligations. It is a pure read operation that provides visibility into past generation tasks.
From the tool's definition Tool description states it "List[s] all your Kling AI generation tasks" and allows users to "View task history, check statuses, and filter by date range or status" with "pagination for browsing." These are query/retrieval operations with no side effects.
Attacks that exploit this kind of access
The rule that runs list_tasks safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Kling, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_tasks, this is the rule to start with:
list_tasks is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect MCP Kling, apply this rule, and every list_tasks call is checked against it from then on.
Questions about list_tasks
List all your Kling AI generation tasks with filtering options. View task history, check statuses, and filter by date range or status. Supports pagination for browsing through large task lists. It is categorised as a Read tool in the MCP Kling MCP Server, which means it retrieves data without modifying state.
Register the MCP Kling MCP server in PolicyLayer and add a rule for list_tasks: 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 MCP Kling. Nothing to install.
list_tasks is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_tasks 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.
Set action: deny in the PolicyLayer policy for list_tasks. 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.
list_tasks is provided by the MCP Kling MCP server (199-mcp/mcp-kling). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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