Upload a local file directly to the Picsha AI platform. This acts as a proxy, fetching a pre-signed S3 URL and executing the PUT request automatically. If your agent is running with user sandboxing, this file will automatically be securely bound to that user
AI agents use upload_asset to create or update resources in Picsha AI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Picsha AI MCP Server environment.
Upload_asset creates new digital assets in the DAM system, which is a reversible write operation. While it adds data to a platform, the action itself is not destructive (the file can be deleted via delete_asset), and it doesn't execute arbitrary code or move funds.
From the tool's definition Tool description explicitly states it "Upload[s] a local file" and "executing the PUT request automatically" to upload assets to the Picsha AI platform. This is a create/modify operation that adds new data to the system.
Attacks that exploit this kind of access
Upload a local file directly to the Picsha AI platform. This acts as a proxy, fetching a pre-signed S3 URL and executing the PUT request automatically. If your agent is running with user sandboxing, this file will automatically be securely bound to that user. It is categorised as a Write tool in the Picsha AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Picsha AI MCP Server MCP server in PolicyLayer and add a rule for upload_asset: 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 Picsha AI MCP Server. Nothing to install.
upload_asset 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_asset 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_asset. 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_asset is provided by the Picsha AI MCP Server MCP server (picsha-ai/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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