预测目标完成情况 (优先项目，后CSV；目前仅支持带日期的目标) Args: goal_id: 目标ID force_refresh: 是否强制刷新缓存数据 (默认为 False) Returns: 预测数据
AI agents call predict_goal_completion to retrieve information from TickTick MCP Service without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads goal data and computes a prediction/forecast. It retrieves existing task/goal information and returns analytical results without creating, modifying, or deleting any data. The force_refresh parameter may invalidate a cache but does not alter user data. This is a read/query operation.
From the tool's definition 预测目标完成情况 (predicts goal completion); takes goal_id and force_refresh parameters; Returns: 预测数据 (prediction data)
Documented attack patterns abuse exactly the kind of access predict_goal_completion gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and TickTick MCP Service, and nothing reaches the server without passing your rules. This is the rule we recommend for predict_goal_completion:
{
"version": "1",
"default": "deny",
"tools": {
"predict_goal_completion": {}
}
}predict_goal_completion is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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预测目标完成情况 (优先项目，后CSV；目前仅支持带日期的目标) Args: goal_id: 目标ID force_refresh: 是否强制刷新缓存数据 (默认为 False) Returns: 预测数据. It is categorised as a Read tool in the TickTick MCP Service MCP Server, which means it retrieves data without modifying state.
Register the TickTick MCP Service MCP server in PolicyLayer and add a rule for predict_goal_completion: 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 TickTick MCP Service. Nothing to install.
predict_goal_completion 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 predict_goal_completion 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 predict_goal_completion. 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.
predict_goal_completion is provided by the TickTick MCP Service MCP server (galaxyxieyu/didatodolist-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from TickTick MCP Service, 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.
28 TickTick MCP Service tools catalogued and risk-classified — across an index of 43,000+ MCP servers.