通过 Atlas Cloud 流式接口验证 Streaming 能力，并在服务端聚合后返回完整文本
AI agents invoke atlas_stream_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 sends a message via an external Atlas Cloud streaming interface and collects the response. It executes an external operation (network call to Atlas Cloud API) whose effects depend on the message argument. It is not purely reading local data, nor is it destructive or financial, so Execute is the most appropriate category given it triggers a remote operation with variable side effects.
From the tool's definition "通过 Atlas Cloud 流式接口验证 Streaming 能力，并在服务端聚合后返回完整文本" — triggers a streaming call to an external cloud service (Atlas Cloud) and aggregates results server-side
Documented attack patterns abuse exactly the kind of access atlas_stream_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_stream_message:
{
"version": "1",
"default": "deny",
"tools": {
"atlas_stream_message": {
"limits": [
{
"counter": "atlas_stream_message_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}atlas_stream_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 流式接口验证 Streaming 能力，并在服务端聚合后返回完整文本. 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_stream_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_stream_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_stream_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_stream_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_stream_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.