搜索Things中的待办事项、项目等。
AI agents call search to retrieve information from Things MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Search is a read-only operation that retrieves data without side effects. It does not create, modify, delete, or execute code. The low severity reflects minimal blast radius—searching cannot harm data or cause unintended operations.
From the tool's definition Tool name is 'search' and description indicates it searches/queries Things for todos and projects ('搜索Things中的待办事项、项目等' = 'Search Things for todos, projects, etc'). No modification, deletion, or execution of external operations.
Attacks that exploit this kind of access
搜索Things中的待办事项、项目等。. It is categorised as a Read tool in the Things MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Things MCP Server MCP server in PolicyLayer and add a rule for search: 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 Things MCP Server. Nothing to install.
search 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 search 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 search. 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.
search is provided by the Things MCP Server MCP server (mieluoxxx/things_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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