New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

onloon-crm-customer-management__listTags

客户标签列表。默认(不传 ownFlag 或 ownFlag=0)返回主账号下全部可见客户标签,场景筛选必须用这个。ownFlag=1 仅当前用户自己创建的标签,禁止用于 saveScene/filterCompanies。不传 open 返回已创建标签;open=true 仅公海反推「已打过标签」。本包固定客户域(contactType=1),禁止用联系人标签。

SERVERLxwl SOURCE@lxwl/mcp-server
Low RISK CLASS
Category Read
Parameters 30 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/lxwl-mcp-server/onloon-crm-customer-management--listtags.md

What onloon-crm-customer-management__listTags does on Lxwl

AI agents call onloon-crm-customer-management__listTags to retrieve information from Lxwl without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
open boolean 仅在需要公海客户上实际打过的标签时传 true。不传则返回全部已创建标签。不要传 false。
keyword string 按标签名或 id 过滤,可选。
ownFlag integer 0=全部可见标签(默认,场景筛选用这个);1=仅自己创建的标签。不传等同 0。禁止把 1 的结果写入 filterCompanies/saveScene。

Parameters from the server's own tool schema.

Why onloon-crm-customer-management__listTags is rated Low

Even though onloon-crm-customer-management__listTags only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about onloon-crm-customer-management__listTags

What does the onloon-crm-customer-management__listTags tool do? +

客户标签列表。默认(不传 ownFlag 或 ownFlag=0)返回主账号下全部可见客户标签,场景筛选必须用这个。ownFlag=1 仅当前用户自己创建的标签,禁止用于 saveScene/filterCompanies。不传 open 返回已创建标签;open=true 仅公海反推「已打过标签」。本包固定客户域(contactType=1),禁止用联系人标签。. It is categorised as a Read tool in the Lxwl MCP Server, which means it retrieves data without modifying state.

What parameters does onloon-crm-customer-management__listTags accept? +

onloon-crm-customer-management__listTags accepts 3 parameters: open, keyword, ownFlag. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on onloon-crm-customer-management__listTags? +

Register the Lxwl MCP server in PolicyLayer and add a rule for onloon-crm-customer-management__listTags: 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 Lxwl. Nothing to install.

What risk level is onloon-crm-customer-management__listTags? +

onloon-crm-customer-management__listTags is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit onloon-crm-customer-management__listTags? +

Yes. Add a rate_limit block to the onloon-crm-customer-management__listTags 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 onloon-crm-customer-management__listTags completely? +

Set action: deny in the PolicyLayer policy for onloon-crm-customer-management__listTags. 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 onloon-crm-customer-management__listTags? +

onloon-crm-customer-management__listTags is provided by the Lxwl MCP server (@lxwl/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Lxwl, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Lxwl's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.