上传图片到 OSS。返回 image_url（用于创建图片笔记的 image_urls 参数）。
AI agents use upload_image to create or update resources in GetNote MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GetNote MCP Server environment.
This tool creates and stores new data (image files) in a persistent storage system (OSS - Object Storage Service), making it a Write operation. It is reversible in principle (the uploaded image can be deleted), so it does not qualify as Destructive.
From the tool's definition Tool description states '上传图片到 OSS' (upload image to OSS), which creates a new artifact (image file) in object storage and returns an image_url for subsequent use in note creation.
Documented attack patterns abuse exactly the kind of access upload_image gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GetNote MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for upload_image:
{
"version": "1",
"default": "deny",
"tools": {
"upload_image": {
"limits": [
{
"counter": "upload_image_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}upload_image 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.
Free to start. No card required.
上传图片到 OSS。返回 image_url（用于创建图片笔记的 image_urls 参数）。. It is categorised as a Write tool in the GetNote MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GetNote MCP Server MCP server in PolicyLayer and add a rule for upload_image: 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 GetNote MCP Server. Nothing to install.
upload_image 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 upload_image 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 upload_image. 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.
upload_image is provided by the GetNote MCP Server MCP server (iswalle/getnote-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GetNote MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
26 GetNote MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.