onloon-social-chat-send__sendMessage
发送社媒私信(OpenAPI HTTP)。内容三选一:text / attachmentUrl+attachmentType / file。推荐仅传 fbMessageUserId + platform + 内容 + confirmed。
This record as markdown: /tools/lxwl-mcp-server/onloon-social-chat-send--sendmessage.md
What onloon-social-chat-send__sendMessage does on Lxwl
AI agents use onloon-social-chat-send__sendMessage to create or update resources in Lxwl, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Lxwl environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
file | string | — | 本地文件路径;先调 oss 上传再发送 |
text | string | — | 纯文本正文(与 attachmentUrl/file 三选一) |
dryRun | boolean | — | 只打印 JSON body,不实际发送 |
noPoll | boolean | — | 发送返回 SENDING 时不轮询 sendStatus |
verify | boolean | — | 发后 GET findMessageList/v2 粗验 |
msgUuid | string | — | 客户端幂等 ID |
fileName | string | — | 附件显示名;--file 时默认取上传文件名 |
platform | string | Yes | message=Facebook Messenger Inbox;ins=Instagram DM;whatsappPersonVirtual=WhatsApp Pro |
username | string | — | message/ins 主页 pageId;缺省时自动补齐 |
confirmed | boolean | Yes | 用户明确同意后再传 true |
recipient | string | — | 收件人 PSID/手机号;缺省时由 userLinkedById 自动补齐 |
replyMsgId | string | — | 引用回复消息 id |
Parameters from the server's own tool schema.
Why onloon-social-chat-send__sendMessage is rated Medium
An AI agent can call onloon-social-chat-send__sendMessage faster than any human can review: one bad instruction and it creates or modifies resources in Lxwl by the hundred, each call as confident as the last.
Risk signalsAccepts file system path (file) · High parameter count (23 properties)
Attacks that exploit this kind of access
The rule that runs onloon-social-chat-send__sendMessage safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Lxwl, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For onloon-social-chat-send__sendMessage, this is the rule to start with:
onloon-social-chat-send__sendMessage stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Lxwl, apply this rule, and every onloon-social-chat-send__sendMessage call is checked against it from then on.
Questions about onloon-social-chat-send__sendMessage
发送社媒私信(OpenAPI HTTP)。内容三选一:text / attachmentUrl+attachmentType / file。推荐仅传 fbMessageUserId + platform + 内容 + confirmed。. It is categorised as a Write tool in the Lxwl MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
onloon-social-chat-send__sendMessage accepts 12 parameters: file, text, dryRun, noPoll, verify, msgUuid, fileName, platform, username, confirmed, recipient, replyMsgId. Required: platform, confirmed. The full parameter table on this page comes from the server's own tool schema.
Register the Lxwl MCP server in PolicyLayer and add a rule for onloon-social-chat-send__sendMessage: 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.
onloon-social-chat-send__sendMessage is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the onloon-social-chat-send__sendMessage 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 onloon-social-chat-send__sendMessage. 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.
onloon-social-chat-send__sendMessage 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.
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