AI agents use upload_local_file to create or update resources in Yadisk — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Yadisk environment.
The tool uploads local files to Yandex Disk, which creates new data in the cloud storage system. This is a Write operation (reversible via delete), not Destructive since uploads don't irreversibly overwrite existing critical data by design.
From the tool's definition Tool name 'upload_local_file' and server description indicating 'upload/download' capabilities; server context shows this is a Yandex Disk file management tool that creates new files in cloud storage.
Attacks that exploit this kind of access
upload_local_file. It is categorised as a Write tool in the Yadisk MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Yadisk MCP server in PolicyLayer and add a rule for upload_local_file: 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 Yadisk. Nothing to install.
upload_local_file 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_local_file 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_local_file. 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_local_file is provided by the Yadisk MCP server (patr56/yadisk-mcp). 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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