Low Risk

get_attempt_tasks

List all tasks within an attempt with their execution status

How to control get_attempt_tasks ↓

What get_attempt_tasks does on Treasure Data MCP Server

AI agents call get_attempt_tasks to retrieve information from Treasure Data MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_attempt_tasks needs a policy

This tool performs a pure read operation—it retrieves and lists information about tasks and their statuses. There are no side effects, no data modification, no code execution, and no destructive or financial operations. It is analogous to a query or list operation that simply returns existing data for inspection.

From the tool's definition Tool name 'get_attempt_tasks' and description 'List all tasks within an attempt with their execution status' indicate a retrieval operation that queries task metadata without modifying, deleting, or executing any tasks.

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

How to control get_attempt_tasks

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

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

get_attempt_tasks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Treasure Data MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about get_attempt_tasks

What does the get_attempt_tasks tool do? +

List all tasks within an attempt with their execution status. It is categorised as a Read tool in the Treasure Data MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_attempt_tasks? +

Register the Treasure Data MCP Server MCP server in PolicyLayer and add a rule for get_attempt_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 Treasure Data MCP Server. Nothing to install.

What risk level is get_attempt_tasks? +

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

Can I rate-limit get_attempt_tasks? +

Yes. Add a rate_limit block to the get_attempt_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.

How do I block get_attempt_tasks completely? +

Set action: deny in the PolicyLayer policy for get_attempt_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.

What MCP server provides get_attempt_tasks? +

get_attempt_tasks is provided by the Treasure Data MCP Server MCP server (treasure-data/td-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Treasure Data MCP Server tool call.

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

Free to start. No card required.

23 Treasure Data MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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