AI agents invoke atlas_send_message to trigger actions in Gemini Skill. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool triggers an external API call to Atlas Cloud, sending a message and receiving a response. It operates on an external service (OpenAI-compatible interface), making it an Execute-category tool as it triggers external operations.
From the tool's definition 通过 Atlas Cloud OpenAI 兼容接口发送一轮文本对话，返回最终文本结果 (sends a round of text conversation via Atlas Cloud OpenAI-compatible interface, returns final text result)
Documented attack patterns abuse exactly the kind of access atlas_send_message gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gemini Skill, and nothing reaches the server without passing your rules. This is the rule we recommend for atlas_send_message:
{
"version": "1",
"default": "deny",
"tools": {
"atlas_send_message": {
"limits": [
{
"counter": "atlas_send_message_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}atlas_send_message stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
通过 Atlas Cloud OpenAI 兼容接口发送一轮文本对话，返回最终文本结果. It is categorised as a Execute tool in the Gemini Skill MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Gemini Skill MCP server in PolicyLayer and add a rule for atlas_send_message: 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 Gemini Skill. Nothing to install.
atlas_send_message is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the atlas_send_message 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 atlas_send_message. 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.
atlas_send_message is provided by the Gemini Skill MCP server (wjz-p/gemini-skill). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 21 Gemini Skill tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
21 Gemini Skill tools catalogued and risk-classified — across an index of 42,500+ MCP servers.